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» The structure of intrinsic complexity of learning
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MICAI
2004
Springer
14 years 2 months ago
Faster Proximity Searching in Metric Data
A number of problems in computer science can be solved efficiently with the so called memory based or kernel methods. Among this problems (relevant to the AI community) are multime...
Edgar Chávez, Karina Figueroa
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 2 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
NIPS
2001
13 years 10 months ago
Grammatical Bigrams
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
Mark A. Paskin
AR
2007
204views more  AR 2007»
13 years 9 months ago
Action recognition and understanding through motor primitives
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
AICOM
2000
105views more  AICOM 2000»
13 years 8 months ago
Emergence of Vowel Systems Through Self-Organisation
This paper describes a model of the emergence and the universal structural tendencies of vowel systems. Both are considered as the result of self-organisation in a population of l...
Bart de Boer