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» Algorithm Selection using Reinforcement Learning
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ATAL
2005
Springer
14 years 4 months ago
Multi-agent reward analysis for learning in noisy domains
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
Adrian K. Agogino, Kagan Tumer
MIR
2006
ACM
145views Multimedia» more  MIR 2006»
14 years 5 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
ECCV
2010
Springer
14 years 2 months ago
Learning Artistic Lighting Template from Portrait Photographs
This paper presents a method for learning artistic portrait lighting template from a dataset of artistic and daily portrait photographs. The learned template can be used for (1) cl...
KDD
2004
ACM
330views Data Mining» more  KDD 2004»
14 years 11 months ago
Learning to detect malicious executables in the wild
In this paper, we describe the development of a fielded application for detecting malicious executables in the wild. We gathered 1971 benign and 1651 malicious executables and enc...
Jeremy Z. Kolter, Marcus A. Maloof
ICCV
2009
IEEE
15 years 4 months ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...