Download Encyclopedia of Machine Learning and Data Mining by Claude Sammut, Geoffrey I. Webb PDF

By Claude Sammut, Geoffrey I. Webb

This accomplished encyclopedia, with over 250 entries in an A-Z layout, presents quick access to correct info for these looking access into any point in the large box of desktop studying. such a lot entries during this preeminent paintings contain helpful literature references.

Topics for the Encyclopedia of computing device Learning have been chosen by means of a exceptional overseas advisory board. those peer-reviewed, highly-structured entries comprise definitions, illustrations, functions, bibliographies and hyperlinks to similar literature, supplying the reader with a portal to extra specified details on any given topic.

The form of the entries within the Encyclopedia of desktop Learning is expository and educational, making the publication a realistic source for computing device studying specialists, in addition to execs in different fields who have to entry this important info yet won't have the time to paintings their manner via a complete textual content on their subject of interest.

The authoritative reference is released either in print and on-line. The print ebook contains an index of topics and authors. the net variation vitamins this index with links in addition to inner links to similar entries within the textual content, CrossRef citations, and hyperlinks to extra major research.

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Psychol Rev 117:1080–1112 Hurvich LM, Jameson D (1957) An opponentprocess theory of color vision. Psychol Rev 64: 384–390 Kelly FJ, Grossberg S (2000) Neural dynamics of 3D surface perception: figure-ground separation and lightness perception. Percept Psychophys 62:1596– 1619 Mhatre H, Gorchetchnikov A, Grossberg S (2012) Grid cell hexagonal patterns formed by fast selforganized learning within entorhinal cortex. Hippocampus 22:320–334 Pack C, Grossberg S, Mingolla E (2001) A neural model of smooth pursuit control and motion perception by cortical area MST.

The ART knowledge discovery model acts as a self-organizing expert system to derive consistent knowledge structures from such nominally inconsistent data (Carpenter et al. 2005). Once derived, a rule set can be used to assign classes to levels. For each rule x ) y, class x is located at a lower level than classy. Classes connected by arrows that codify a list of rules and confidence values form a graphical representation of a knowledge hierarchy. For spatial data, the resulting diagram of the relationships among classes can guide the construction of orderly layered maps.

Carpenter and Grossberg 1993; Grossberg 1984, 2000a,b; Grossberg and Seidman 2006). Imbalanced processes across the complementary systems that control normal behaviors can produce constellations of model symptoms that strikingly resemble mental disorders. For example, fixing the ART vigilance parameter at too high a level leads to symptoms familiar in autistic individuals, notably learning of hyperconcrete categories and difficulty paying attention to the meaning of a task. Underarousal of the model amygdala can lead to insensitivity to social meanings and also to intense emotional outbursts and coping strategies to reduce event complexity and unexpectedness.

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