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» Why Is Rule Learning Optimistic and How to Correct It
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ESWA
2006
122views more  ESWA 2006»
13 years 8 months ago
Transmembrane segments prediction and understanding using support vector machine and decision tree
In recent years, there have been many studies focusing on improving the accuracy of prediction of transmembrane segments, and many significant results have been achieved. In spite...
Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C...
EATCS
1998
250views more  EATCS 1998»
13 years 8 months ago
Human Visual Perception and Kolmogorov Complexity: Revisited
Experiments have shown [2] that we can only memorize images up to a certain complexity level, after which, instead of memorizing the image itself, we, sort of, memorize a probabil...
Vladik Kreinovich, Luc Longpré
FOCS
2006
IEEE
14 years 2 months ago
Hardness of Learning Halfspaces with Noise
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Venkatesan Guruswami, Prasad Raghavendra
HICSS
2003
IEEE
116views Biometrics» more  HICSS 2003»
14 years 1 months ago
Modeling Instrumental Conditioning - The Behavioral Regulation Approach
Basically, instrumental conditioning is learning through consequences: Behavior that produces positive results (high “instrumental response”) is reinforced, and that which pro...
Jose J. Gonzalez, Agata Sawicka
ECLIPSE
2006
ACM
14 years 2 months ago
FrUiT: IDE support for framework understanding
Frameworks provide means to reuse existing design and functionality, but first require developers to understand how to use them. Learning the correct usage of a framework can be ...
Marcel Bruch, Thorsten Schäfer, Mira Mezini