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» On Efficiency of Learning: A Framework and Justification
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KDD
2010
ACM
222views Data Mining» more  KDD 2010»
13 years 9 months ago
Large linear classification when data cannot fit in memory
Recent advances in linear classification have shown that for applications such as document classification, the training can be extremely efficient. However, most of the existing t...
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-J...
IJCAI
1989
13 years 9 months ago
Execution Architectures and Compilation
This paper introduces a partition of the possible forms of knowledge according to their rela­ tionship to the basic objective of an intelligent agent, namely to act successfully ...
Stuart J. Russell
JMLR
2006
116views more  JMLR 2006»
13 years 7 months ago
Step Size Adaptation in Reproducing Kernel Hilbert Space
This paper presents an online support vector machine (SVM) that uses the stochastic meta-descent (SMD) algorithm to adapt its step size automatically. We formulate the online lear...
S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex ...
CVPR
2008
IEEE
14 years 9 months ago
Cost-sensitive face recognition
Traditional face recognition systems attempt to achieve a high recognition accuracy, which implicitly assumes that the losses of all misclassifications are the same. However, in m...
Yin Zhang, Zhi-Hua Zhou
ICML
2004
IEEE
14 years 8 months ago
Decentralized detection and classification using kernel methods
We consider the problem of decentralized detection under constraints on the number of bits that can be transmitted by each sensor. In contrast to most previous work, in which the ...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...