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» Approximation Methods for Supervised Learning
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BMCBI
2007
154views more  BMCBI 2007»
13 years 10 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...
CIKM
2011
Springer
12 years 10 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
MICCAI
2003
Springer
14 years 10 months ago
An Artificially Evolved Vision System for Segmenting Skin Lesion Images
Abstract. We present a novel technique where a medical image segmentation system is evolved using genetic programming. The evolved system was trained on just 8 images outlined by a...
Mark E. Roberts, Ela Claridge
ICANN
2005
Springer
14 years 3 months ago
Interpolation Mechanism of Functional Networks
In this paper, the interpolation mechanism of functional networks is discussed. A kind of fourlayer (with 1 input and 1 output unit) and a five-layer (with double input and single...
Yong-Quan Zhou, Licheng Jiao
ACL
1996
13 years 11 months ago
Fast Parsing Using Pruning and Grammar Specialization
We show how a general grammar may be automatically adapted for fast parsing of utterances from a specific domain by means of constituent pruning and grammar specialization based o...
Manny Rayner, David M. Carter