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BMCBI
2010
150views more  BMCBI 2010»
13 years 6 months ago
AMS 3.0: prediction of post-translational modifications
Background: We present here the recent update of AMS algorithm for identification of post-translational modification (PTM) sites in proteins based only on sequence information, us...
Subhadip Basu, Dariusz Plewczynski
SBIA
2004
Springer
14 years 1 days ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
TNN
2008
94views more  TNN 2008»
13 years 6 months ago
Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions
There usually exist many kinds of variations in face images taken under uncontrolled conditions, such as changes of pose, illumination, expression, etc. Most previous works on fac...
Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles
NIPS
2001
13 years 8 months ago
Improvisation and Learning
This article presents a 2-phase computational learning model and application. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Enti...
Judy A. Franklin
ML
2006
ACM
110views Machine Learning» more  ML 2006»
13 years 6 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez