Why is training better when following an easy-to-difficult schedule?
SVM training is typically done in a batch processing, and thus the order of data presentation doesn't matter. You should consider online learning algorithms, for example, the perceptron learning rule. These algorithms are in general stochastic gradient descent optimization procedures, and easy examples early on with larger learning step would be much more efficient (faster convergence towards the correct answer) than learning with difficult examples first.