"The book presents a welcome selection and careful exposition of material that can be (and is) covered in a single course...In this reviewer's opinion, this would be an interesting text to use with a group of advanced students well-grounded in undergraduate mathematics and computer science, and would produce a valuable course for the...

This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation,...

1 cassette / 40 minutes
A multi-voice production

Explore the language that exists beyond words - the language of the body and its gestures.

Whether conscious or not of our bodies' movements, we express our feelings, attitudes, and motives through gestures that are often vague and frequently ignored....

Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier.

Judd looks beyond the scope...

Programming is a fascinating and challenging subject. Unfortunately, it is rarely presented as such. Most often it is taught by "induction": features of some famous programming languages are given operational meaning (e.g. a loop "goes round and round"), a number of examples are shown, and by induction, we are asked to...

Hyperarithmetic theory is the first step beyond classical recursion theory. It is the primary source of ideas and examples in higher recursion theory. It is also a crossroad for several areas of mathematical logic: in set theory it is an initial segment of Godel's L; in model theory, the least admissible set after ; in descriptive set...