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» Approximation Methods for Supervised Learning
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KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 10 months ago
Sequential cost-sensitive decision making with reinforcement learning
Recently, there has been increasing interest in the issues of cost-sensitive learning and decision making in a variety of applications of data mining. A number of approaches have ...
Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny
CVPR
2004
IEEE
14 years 12 months ago
Names and Faces in the News
We show quite good face clustering is possible for a dataset of inaccurately and ambiguously labelled face images. Our dataset is 44,773 face images, obtained by applying a face f...
Tamara L. Berg, Alexander C. Berg, Jaety Edwards, ...
IJCAI
1989
13 years 11 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
ICIP
2007
IEEE
14 years 4 months ago
A VQ-Based Demosaicing by Self-Similarity
In this paper, we propose a learning-based demosaicing and a restoration error detection. A Vector Quantization (VQ)based method is utilized for learning. We take advantage of a s...
Yoshikuni Nomura, Shree K. Nayar
CVPR
2001
IEEE
14 years 12 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth