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Chilly Gonzales (born Jason Charles Beck; 20 March 1972) is a Grammy-winning Canadian musician who resided in Paris, France for several years, and now lives in Cologne, Germany. <arg1> who </arg1> <rel> lives in </rel> <arg2> Cologne , Germany </arg2> 1 |
Chilly Gonzales (born Jason Charles Beck; 20 March 1972) is a Grammy-winning Canadian musician who resided in Paris, France for several years, and now lives in Cologne, Germany. <arg1> Cologne </arg1> <rel> is in </rel> <arg2> Germany </arg2> 1 |
Chilly Gonzales (born Jason Charles Beck; 20 March 1972) is a Grammy-winning Canadian musician who resided in Paris, France for several years, and now lives in Cologne, Germany. <arg1> Chilly Gonzales </arg1> <rel> is </rel> <arg2> a Grammy-winning Canadian musician </arg2> 1 |
Chilly Gonzales (born Jason Charles Beck; 20 March 1972) is a Grammy-winning Canadian musician who resided in Paris, France for several years, and now lives in Cologne, Germany. <arg1> who </arg1> <rel> lives in </rel> <arg2> Germany </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> he </arg1> <rel> is </rel> <arg2> a producer </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> he </arg1> <rel> is </rel> <arg2> a songwriter </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> he </arg1> <rel> is Known for </rel> <arg2> his albums of classical piano compositions with a pop music sensibility </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> he </arg1> <rel> is Known for </rel> <arg2> Solo Piano I </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> he </arg1> <rel> is Known for </rel> <arg2> Solo Piano II </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> he </arg1> <rel> is Known for </rel> <arg2> his MC albums </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> he </arg1> <rel> is Known for </rel> <arg2> his electro albums </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> Solo Piano I </arg1> <rel> is </rel> <arg2> an album </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> Solo Piano I </arg1> <rel> is </rel> <arg2> an album of classical piano compositions </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> Solo Piano I </arg1> <rel> has </rel> <arg2> a pop music sensibility </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> Solo Piano II </arg1> <rel> is </rel> <arg2> an album </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> Solo Piano II </arg1> <rel> is </rel> <arg2> an album of classical piano compositions </arg2> 1 |
Known for his albums of classical piano compositions with a pop music sensibility, Solo Piano I and Solo Piano II, as well as his MC and electro albums, he is also a producer and songwriter. <arg1> Solo Piano I </arg1> <rel> has </rel> <arg2> a pop music sensibility </arg2> 1 |
Gonzales broadcasts a web series Pop Music Masterclass on WDR, the documentary Classical Connections on BBC Radio 1, The History of Music on Arte, and Music's Cool with Chilly Gonzales on Apple Music's Beats1 radio show. <arg1> Gonzales </arg1> <rel> broadcasts </rel> <arg2> Pop Music Masterclass </arg2> 1 |
Gonzales broadcasts a web series Pop Music Masterclass on WDR, the documentary Classical Connections on BBC Radio 1, The History of Music on Arte, and Music's Cool with Chilly Gonzales on Apple Music's Beats1 radio show. <arg1> Pop Music Masterclass </arg1> <rel> is </rel> <arg2> a web series </arg2> 1 |
Gonzales broadcasts a web series Pop Music Masterclass on WDR, the documentary Classical Connections on BBC Radio 1, The History of Music on Arte, and Music's Cool with Chilly Gonzales on Apple Music's Beats1 radio show. <arg1> Gonzales </arg1> <rel> broadcasts </rel> <arg2> Classical Connections </arg2> 1 |
Gonzales broadcasts a web series Pop Music Masterclass on WDR, the documentary Classical Connections on BBC Radio 1, The History of Music on Arte, and Music's Cool with Chilly Gonzales on Apple Music's Beats1 radio show. <arg1> Classical Connections </arg1> <rel> is </rel> <arg2> a documentary </arg2> 1 |
Gonzales broadcasts a web series Pop Music Masterclass on WDR, the documentary Classical Connections on BBC Radio 1, The History of Music on Arte, and Music's Cool with Chilly Gonzales on Apple Music's Beats1 radio show. <arg1> Gonzales </arg1> <rel> broadcasts </rel> <arg2> The History of Music </arg2> 1 |
He has written several newspaper and magazine opinion pieces in The Guardian, Vice, Billboard, and others. <arg1> He </arg1> <rel> has written </rel> <arg2> newspaper opinion pieces </arg2> 1 |
He has written several newspaper and magazine opinion pieces in The Guardian, Vice, Billboard, and others. <arg1> He </arg1> <rel> has written </rel> <arg2> magazine opinion pieces </arg2> 1 |
He has written several newspaper and magazine opinion pieces in The Guardian, Vice, Billboard, and others. <arg1> He </arg1> <rel> has written </rel> <arg2> opinion pieces </arg2> 1 |
He is the younger brother of the prolific film composer Christophe Beck. <arg1> He </arg1> <rel> is the younger brother of </rel> <arg2> Christophe Beck </arg2> 1 |
He is the younger brother of the prolific film composer Christophe Beck. <arg1> Christophe Beck </arg1> <rel> is </rel> <arg2> a film composer </arg2> 1 |
He is the younger brother of the prolific film composer Christophe Beck. <arg1> Christophe Beck </arg1> <rel> is </rel> <arg2> a prolific film composer </arg2> 1 |
He is the younger brother of the prolific film composer Christophe Beck. <arg1> He </arg1> <rel> is the brother of </rel> <arg2> Christophe Beck </arg2> 1 |
He is the younger brother of the prolific film composer Christophe Beck. <arg1> He </arg1> <rel> is younger than </rel> <arg2> Christophe Beck </arg2> 1 |
Gonzales was born on 20 March 1972. <arg1> Gonzales </arg1> <rel> was born on </rel> <arg2> 20 March 1972 </arg2> 1 |
Gonzales was born on 20 March 1972. <arg1> Gonzales </arg1> <rel> was born in </rel> <arg2> 1972 </arg2> 1 |
His parents are Ashkenazi Jews who had to flee from Hungary during World War II. <arg1> His parents </arg1> <rel> are </rel> <arg2> Ashkenazi Jews </arg2> 1 |
His parents are Ashkenazi Jews who had to flee from Hungary during World War II. <arg1> His parents </arg1> <rel> are </rel> <arg2> Jews </arg2> 1 |
His parents are Ashkenazi Jews who had to flee from Hungary during World War II. <arg1> His parents </arg1> <rel> had to flee from </rel> <arg2> Hungary </arg2> 1 |
His parents are Ashkenazi Jews who had to flee from Hungary during World War II. <arg1> His parents </arg1> <rel> fled from </rel> <arg2> Hungary </arg2> 1 |
His parents are Ashkenazi Jews who had to flee from Hungary during World War II. <arg1> Chilly Gonzales </arg1> <rel> has </rel> <arg2> parents </arg2> 1 |
Gonzales began teaching himself piano at age three, when his older brother Chris began taking lessons. <arg1> Gonzales </arg1> <rel> began teaching himself </rel> <arg2> piano </arg2> 1 |
Gonzales began teaching himself piano at age three, when his older brother Chris began taking lessons. <arg1> Gonzales </arg1> <rel> taught himself </rel> <arg2> piano </arg2> 1 |
Gonzales began teaching himself piano at age three, when his older brother Chris began taking lessons. <arg1> Gonzales </arg1> <rel> has </rel> <arg2> an older brother </arg2> 1 |
Gonzales began teaching himself piano at age three, when his older brother Chris began taking lessons. <arg1> Chris </arg1> <rel> took </rel> <arg2> piano lessons </arg2> 1 |
Gonzales began teaching himself piano at age three, when his older brother Chris began taking lessons. <arg1> Chris </arg1> <rel> is the older brother of </rel> <arg2> Gonzales </arg2> 1 |
Gonzales graduated from Crescent School in Toronto, Ontario, Canada. <arg1> Gonzales </arg1> <rel> graduated from </rel> <arg2> Crescent School </arg2> 1 |
Gonzales graduated from Crescent School in Toronto, Ontario, Canada. <arg1> Toronto </arg1> <rel> is in </rel> <arg2> Ontario , Canada </arg2> 1 |
Gonzales graduated from Crescent School in Toronto, Ontario, Canada. <arg1> Toronto </arg1> <rel> is in </rel> <arg2> Canada </arg2> 1 |
Gonzales graduated from Crescent School in Toronto, Ontario, Canada. <arg1> Ontario </arg1> <rel> is in </rel> <arg2> Canada </arg2> 1 |
Gonzales graduated from Crescent School in Toronto, Ontario, Canada. <arg1> Crescent School </arg1> <rel> is in </rel> <arg2> Toronto , Ontario , Canada </arg2> 1 |
He was classically trained as a pianist at McGill University, where he began both his composing career, co-authoring several musicals with his brother, and his performing career, as a jazz virtuoso. <arg1> He </arg1> <rel> was classically trained as </rel> <arg2> a pianist </arg2> 1 |
He was classically trained as a pianist at McGill University, where he began both his composing career, co-authoring several musicals with his brother, and his performing career, as a jazz virtuoso. <arg1> He </arg1> <rel> began </rel> <arg2> his composing career </arg2> 1 |
He was classically trained as a pianist at McGill University, where he began both his composing career, co-authoring several musicals with his brother, and his performing career, as a jazz virtuoso. <arg1> He </arg1> <rel> began </rel> <arg2> his performing career </arg2> 1 |
He was classically trained as a pianist at McGill University, where he began both his composing career, co-authoring several musicals with his brother, and his performing career, as a jazz virtuoso. <arg1> He </arg1> <rel> co-authored </rel> <arg2> musicals </arg2> 1 |
He was classically trained as a pianist at McGill University, where he began both his composing career, co-authoring several musicals with his brother, and his performing career, as a jazz virtuoso. <arg1> He </arg1> <rel> is </rel> <arg2> a jazz virtuoso </arg2> 1 |
He was classically trained as a pianist at McGill University, where he began both his composing career, co-authoring several musicals with his brother, and his performing career, as a jazz virtuoso. <arg1> He </arg1> <rel> has </rel> <arg2> a composing career </arg2> 1 |
He was classically trained as a pianist at McGill University, where he began both his composing career, co-authoring several musicals with his brother, and his performing career, as a jazz virtuoso. <arg1> He </arg1> <rel> has </rel> <arg2> a performing career </arg2> 1 |
He was classically trained as a pianist at McGill University, where he began both his composing career, co-authoring several musicals with his brother, and his performing career, as a jazz virtuoso. <arg1> He </arg1> <rel> has </rel> <arg2> a brother </arg2> 1 |
In statistics, an expectation–maximization (EM) algorithm is an iterative method to find maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. <arg1> EM </arg1> <rel> stands for </rel> <arg2> expectation–maximization </arg2> 1 |
In statistics, an expectation–maximization (EM) algorithm is an iterative method to find maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. <arg1> an expectation–maximization algorithm </arg1> <rel> is </rel> <arg2> an iterative method </arg2> 1 |
In statistics, an expectation–maximization (EM) algorithm is an iterative method to find maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. <arg1> MAP </arg1> <rel> stands for </rel> <arg2> maximum a posteriori </arg2> 1 |
In statistics, an expectation–maximization (EM) algorithm is an iterative method to find maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. <arg1> an expectation–maximization algorithm </arg1> <rel> finds </rel> <arg2> maximum likelihood estimates of parameters in statistical models </arg2> 1 |
The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. <arg1> E </arg1> <rel> stands for </rel> <arg2> expectation </arg2> 1 |
The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. <arg1> M </arg1> <rel> stands for </rel> <arg2> maximization </arg2> 1 |
The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. <arg1> an expectation step </arg1> <rel> creates </rel> <arg2> a function for the expectation of the log-likelihood </arg2> 1 |
The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. <arg1> a maximization step </arg1> <rel> computes </rel> <arg2> parameters </arg2> 1 |
The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. <arg1> The EM iteration </arg1> <rel> performs </rel> <arg2> an expectation step </arg2> 1 |
The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. <arg1> The EM iteration </arg1> <rel> performs </rel> <arg2> a maximization step </arg2> 1 |
The EM iteration alternates between performing an expectation (E) step, which creates a function for the expectation of the log-likelihood evaluated using the current estimate for the parameters, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. <arg1> the expected log-likelihood </arg1> <rel> is found on </rel> <arg2> the E step </arg2> 1 |
These parameter-estimates are then used to determine the distribution of the latent variables in the next E step. <arg1> These parameter-estimates </arg1> <rel> are used to determine </rel> <arg2> the distribution of the latent variables </arg2> 1 |
These parameter-estimates are then used to determine the distribution of the latent variables in the next E step. <arg1> the latent variables </arg1> <rel> have </rel> <arg2> a distribution </arg2> 1 |
The EM algorithm was explained and given its name in a classic 1977 paper by Arthur Dempster, Nan Laird, and Donald Rubin. <arg1> The EM algorithm </arg1> <rel> was explained in </rel> <arg2> a classic 1977 paper by Arthur Dempster , Nan Laird , and Donald Rubin </arg2> 1 |
The EM algorithm was explained and given its name in a classic 1977 paper by Arthur Dempster, Nan Laird, and Donald Rubin. <arg1> The EM algorithm </arg1> <rel> was explained in </rel> <arg2> a paper </arg2> 1 |
The EM algorithm was explained and given its name in a classic 1977 paper by Arthur Dempster, Nan Laird, and Donald Rubin. <arg1> The EM algorithm </arg1> <rel> was explained in </rel> <arg2> 1977 </arg2> 1 |
The EM algorithm was explained and given its name in a classic 1977 paper by Arthur Dempster, Nan Laird, and Donald Rubin. <arg1> a paper </arg1> <rel> explained </rel> <arg2> The EM algorithm </arg2> 1 |
The EM algorithm was explained and given its name in a classic 1977 paper by Arthur Dempster, Nan Laird, and Donald Rubin. <arg1> a classic 1977 paper by Arthur Dempster , Nan Laird , and Donald Rubin </arg1> <rel> explained </rel> <arg2> The EM algorithm </arg2> 1 |
The EM algorithm was explained and given its name in a classic 1977 paper by Arthur Dempster, Nan Laird, and Donald Rubin. <arg1> a classic 1977 paper by Arthur Dempster , Nan Laird , and Donald Rubin </arg1> <rel> gave its name to </rel> <arg2> The EM algorithm </arg2> 1 |
The EM algorithm was explained and given its name in a classic 1977 paper by Arthur Dempster, Nan Laird, and Donald Rubin. <arg1> a paper </arg1> <rel> gave its name to </rel> <arg2> The EM algorithm </arg2> 1 |
The EM algorithm was explained and given its name in a classic 1977 paper by Arthur Dempster, Nan Laird, and Donald Rubin. <arg1> Arthur Dempster , Nan Laird , and Donald Rubin </arg1> <rel> wrote </rel> <arg2> a classic paper </arg2> 1 |
The EM algorithm was explained and given its name in a classic 1977 paper by Arthur Dempster, Nan Laird, and Donald Rubin. <arg1> The EM algorithm </arg1> <rel> has </rel> <arg2> a name </arg2> 1 |
They pointed out that the method had been "proposed many times in special circumstances" by earlier authors. <arg1> the method </arg1> <rel> had been proposed by </rel> <arg2> earlier authors </arg2> 1 |
They pointed out that the method had been "proposed many times in special circumstances" by earlier authors. <arg1> earlier authors </arg1> <rel> proposed </rel> <arg2> the method </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> A treatment of the EM method for exponential families </arg1> <rel> was published by </rel> <arg2> Rolf Sundberg </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> A very detailed treatment of the EM method for exponential families </arg1> <rel> was published by </rel> <arg2> Rolf Sundberg </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> A very detailed treatment of the EM method for exponential families </arg1> <rel> was published by </rel> <arg2> Rolf Sundberg </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> Rolf Sundberg </arg1> <rel> published </rel> <arg2> A treatment of the EM method for exponential families </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> Rolf Sundberg </arg1> <rel> published </rel> <arg2> A very detailed treatment of the EM method for exponential families </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> Rolf Sundberg </arg1> <rel> has </rel> <arg2> a thesis </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> Rolf Sundberg </arg1> <rel> wrote </rel> <arg2> a thesis </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> Rolf Sundberg </arg1> <rel> collaborated with </rel> <arg2> Per Martin-Löf </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> Rolf Sundberg </arg1> <rel> collaborated with </rel> <arg2> Anders Martin-Löf </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> Rolf Sundberg </arg1> <rel> has a collaboration with </rel> <arg2> Per Martin-Löf </arg2> 1 |
A very detailed treatment of the EM method for exponential families was published by Rolf Sundberg in his thesis and several papers following his collaboration with Per Martin-Löf and Anders Martin-Löf. <arg1> Rolf Sundberg </arg1> <rel> has a collaboration with </rel> <arg2> Anders Martin-Löf </arg2> 1 |
The Dempster–Laird–Rubin paper in 1977 generalized the method and sketched a convergence analysis for a wider class of problems. <arg1> The Dempster–Laird–Rubin paper </arg1> <rel> generalized </rel> <arg2> the method </arg2> 1 |
The Dempster–Laird–Rubin paper in 1977 generalized the method and sketched a convergence analysis for a wider class of problems. <arg1> The Dempster–Laird–Rubin paper </arg1> <rel> sketched </rel> <arg2> a convergence analysis </arg2> 1 |
The Dempster–Laird–Rubin paper in 1977 generalized the method and sketched a convergence analysis for a wider class of problems. <arg1> The Dempster–Laird–Rubin paper </arg1> <rel> was published in </rel> <arg2> 1977 </arg2> 1 |
Regardless of earlier inventions, the innovative Dempster–Laird–Rubin paper in the Journal of the Royal Statistical Society received an enthusiastic discussion at the Royal Statistical Society meeting with Sundberg calling the paper "brilliant". <arg1> the innovative Dempster–Laird–Rubin paper in the Journal of the Royal Statistical Society </arg1> <rel> received </rel> <arg2> an enthusiastic discussion </arg2> 1 |
Regardless of earlier inventions, the innovative Dempster–Laird–Rubin paper in the Journal of the Royal Statistical Society received an enthusiastic discussion at the Royal Statistical Society meeting with Sundberg calling the paper "brilliant". <arg1> the Dempster–Laird–Rubin paper </arg1> <rel> was published in </rel> <arg2> the Journal of the Royal Statistical Society </arg2> 1 |
Regardless of earlier inventions, the innovative Dempster–Laird–Rubin paper in the Journal of the Royal Statistical Society received an enthusiastic discussion at the Royal Statistical Society meeting with Sundberg calling the paper "brilliant". <arg1> Sundberg </arg1> <rel> called </rel> <arg2> the paper </arg2> 1 |
Regardless of earlier inventions, the innovative Dempster–Laird–Rubin paper in the Journal of the Royal Statistical Society received an enthusiastic discussion at the Royal Statistical Society meeting with Sundberg calling the paper "brilliant". <arg1> the paper </arg1> <rel> is </rel> <arg2> brilliant </arg2> 1 |
Regardless of earlier inventions, the innovative Dempster–Laird–Rubin paper in the Journal of the Royal Statistical Society received an enthusiastic discussion at the Royal Statistical Society meeting with Sundberg calling the paper "brilliant". <arg1> the Dempster–Laird–Rubin paper </arg1> <rel> is </rel> <arg2> innovative </arg2> 1 |
Regardless of earlier inventions, the innovative Dempster–Laird–Rubin paper in the Journal of the Royal Statistical Society received an enthusiastic discussion at the Royal Statistical Society meeting with Sundberg calling the paper "brilliant". <arg1> Royal Statistical Society </arg1> <rel> had </rel> <arg2> a meeting </arg2> 1 |
The Dempster–Laird–Rubin paper established the EM method as an important tool of statistical analysis. <arg1> The Dempster–Laird–Rubin paper </arg1> <rel> established </rel> <arg2> the EM method </arg2> 1 |
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