December 2012
Intermediate to advanced
407 pages
10h 18m
English
Content preview from Pattern Recognition and Machine Learning
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Index
A
actions, 37
active node, 272
add list, 206
analogical reasoning, 245
AND goals, 173
annealing, 328
antecedents, 260
association graph, 164
assumption, 258
assumption-based truth maintenance system, 260
ATMS, 260
atomic formula, 30
attribute complex, 197
attributes, 26
autoassociative Boltzmann machine, 324
axiom, 74
B
B-spline, 61
back constraint, 171
back propagation error learning, 302
backtracking, 70
bandlimited, 59
base domain, 248
Bayes’ theorem, 278
belief, 256
best-first search, 72
bigger, 248
binary tree, 25
bit, 15
bit pattern, 15
blackboard model, 169
blocking, 84
body, 35
Boltzmann machines, 323
bottom-up processing, 167
boxel, 16
breadth-first search, 71
bug, 227
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.