80 search results - page 12 / 16 » A concepts-first introduction to computer science |
ACMSE
2007
ACM
15 years 4 months ago
2007
ACM
CluVis, a prototype for visual monitoring and exploration of cluster and network metadata, is introducted. CluVis builds upon interactively added charts of cluster/network metadat...
176
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Book
This book covers the following topics: The biological paradigm, Threshold logic, Weighted Networks, The Perceptron, Perceptron learning, Unsupervised learning and clustering algori...
169
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Book
The book covers the following topics: Values, Types, Functions, Case Expressions and Pattern Matching, Type Classes and Overloading, Input/Output, Standard Haskell Classes
Monads,...
245
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Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
155
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Book
"Reinforcement learning is learning what to do how to map situations to actions so as to maximize a numerical reward signal. The learner is not told which actions to take, as ...