[ kallenberg foundations of modern probability springernew yorksecond edition [ karalic linear regression in regression tree leaves in proceedings of ecai- pages - hoboken john wiley sons [ kaynak methods of combining multiple classifiers and their applications to handwritten digit recognition master' thesisinstitute of graduate studies in science and engineeringbogazici university [ keilath and sayededitors fast reliable algorithms for matrices with structure siampennsylvania [ nussbaumer knaflic storytelling with dataa data visualization guide for business professionals john wiley sonshoboken [ koller and friedman probabilistic graphical modelsprinciples and techniques adaptive computation and machine learning the mit presscambridge [ kolmogorov and fomin elements of the theory of functions and functional analysis dover publicationsmineola [ kroeset breretont taimreand botev why the monte carlo method is so important today wiley interdisciplinary reviewscomputational statistics ( ): - [ kroese and chan statistical modeling and computation springer [ kroeses porotskyand rubinstein the cross-entropy method for continuous multi-extremal optimization methodology and computing in applied probability ( ): - [ kroeset taimreand botev handbook of monte carlo methods john wiley sonsnew york [ kushner and yin stochastic approximation and recursive algorithms and applications springernew yorksecond edition [ lafaye de micheauxr drouilhetand liquet the softwarefundamentals of programming and statistical analysis springernew york [ larsen and marx an introduction to mathematical statistics and its applications prentice hallnew yorkthird edition [ law and kelton simulation modeling and analysis mcgraw-hillnew yorkthird edition [ 'ecuyer unified view of ipasfand lr gradient estimation techniques management science : -