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IJON
2002
74views more  IJON 2002»
13 years 7 months ago
Optimal spontaneous activity in neural network modeling
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...
Daniel Remondini, Nathan Intrator, Gastone C. Cast...
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
JMLR
2008
117views more  JMLR 2008»
13 years 7 months ago
Active Learning by Spherical Subdivision
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
Falk-Florian Henrich, Klaus Obermayer
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
14 years 2 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard
ICMCS
2006
IEEE
121views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Sampling Strategies for Active Learning in Personal Photo Retrieval
With the advent and proliferation of digital cameras and computers, the number of digital photos created and stored by consumers has grown extremely large. This created increasing...
Yi Wu, Igor Kozintsev, Jean-Yves Bouguet, Carole D...