By Claude Sammut, Geoffrey I. Webb
This complete encyclopedia, with over 250 entries in an A-Z layout, offers quick access to appropriate info for these looking access into any point in the wide box of laptop studying. such a lot entries during this preeminent paintings comprise valuable literature references.
Topics for the Encyclopedia of computing device Learning have been chosen by means of a extraordinary foreign advisory board. those peer-reviewed, highly-structured entries contain definitions, illustrations, functions, bibliographies and hyperlinks to comparable literature, offering the reader with a portal to extra designated details on any given topic.
The variety of the entries within the Encyclopedia of desktop Learning is expository and educational, making the booklet a realistic source for desktop studying specialists, in addition to execs in different fields who have to entry this important details yet would possibly not have the time to paintings their means 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 matters and authors. the web version vitamins this index with links in addition to inner links to comparable entries within the textual content, CrossRef citations, and hyperlinks to extra major research.
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Additional info for Encyclopedia of Machine Learning and Data Mining
Psychol Rev 115:677–732 Grossberg S, Pilly PK (2012) How entorhinal grid cells may learn multiple spatial scales from a dorsoventral gradient of cell response rates in a self-organizing map. PLoS Comput Biol 8(10):31002648. 1002648 Grossberg S, Pilly PK (2014) Coordinated learning of grid cell and place cell spatial and temporal properties: multiple scales, attention, and oscillations. Philos Trans R Soc B 369:20120524 Grossberg S, Rudd ME (1992) Cortical dynamics of visual motion perception: short-range and long- 39 range apparent motion (with Rudd ME).
The FACADE model has just the properties that are needed for solving the Where’s Waldo problem, and the 3D FORMOTION model has just the properties that are needed for tracking unpredictably moving targets. Their complementary properties enabled these extensions. Visual and Spatial Navigation, Cognitive Working Memory, and Planning In addition to being able to see, learn, recognize, and track valued goal objects, an animal or autonomous robot must also be able to navigate to or away from them and to interact with them through goal-oriented hand and arm movements.
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. ART knowledge discovery code is available from the CNS Technology Lab Website (http://techlab. edu/classer/classer toolkit overview). On the Boston Testbed, the ART knowledge discovery system places each class at its correct level and finds all the correct rules for this example.