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Deep neural nets with a large number of parameters are very powerful machine learning systems. However, overfitting is a serious… Expand Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these… Expand Although Recommender Systems have been comprehensively analyzed in the past decade, the study of social-based recommender systems… Expand In recent years there has been a growing interest in the study of sparse representation of signals. Using an overcomplete… Expand The package REGULARIZATION TOOLS consists of 54 Matlab routines for analysis and solution of discrete ill-posed problems, i.e… Expand Recent theoretical results describing the sum capacity when using multiple antennas to communicate with multiple users in a known… Expand DNA micro-arrays now permit scientists to screen thousands of genes simultaneously and determine whether those genes are active… Expand Chapters 2–7 make up Part II of the book: artificial neural networks. After introducing the basic concepts of neurons and… Expand We present a new part-of-speech tagger that demonstrates the following ideas: (i) explicit use of both preceding and following… Expand Discretizations of inverse problems lead to systems of linear equations with a highly ill-conditioned coefficient matrix, and in… Expand