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» Abduction in Classification Tasks
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NIPS
2000
14 years 12 months ago
A Silicon Primitive for Competitive Learning
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
David Hsu, Miguel Figueroa, Chris Diorio
CORR
2007
Springer
116views Education» more  CORR 2007»
14 years 10 months ago
The Extended Edit Distance Metric
Similarity search is an important problem in information retrieval. This similarity is based on a distance. Symbolic representation of time series has attracted many researchers re...
Muhammad Marwan Muhammad Fuad, Pierre-Francois Mar...
91
Voted
PRL
2006
96views more  PRL 2006»
14 years 10 months ago
Classifier evaluation under limited resources
Existing evaluations measures are insufficient when probabilistic classifiers are used for choosing objects to be included in a limited quota. This paper reviews performance measu...
Reuven Arbel, Lior Rokach
SIGKDD
2008
159views more  SIGKDD 2008»
14 years 10 months ago
Data mining with cellular automata
A cellular automaton is a discrete, dynamical system composed of very simple, uniformly interconnected cells. Cellular automata may be seen as an extreme form of simple, localized...
Tom Fawcett
SIGKDD
2002
113views more  SIGKDD 2002»
14 years 10 months ago
Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study
In order to solve task 2 of the KDD Cup 2002, we exploited various available information sources. In particular, use of relational information describing the interactions among ge...
Mark-A. Krogel, Marcus Denecke, Marco Landwehr, To...