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NIPS
2007
15 years 8 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
ICPR
2008
IEEE
16 years 1 months ago
Graph-based semi-supervised learning with redundant views
In this paper, we propose a novel semi-supervised algorithm, which works under a two-view setting. Our algorithm, named Kernel Canonical Component Analysis Graph (KC-GRAPH), can e...
Yun-Chao Gong, Chuanliang Chen, Yingjie Tian
ACCV
2007
Springer
16 years 25 days ago
Learning a Fast Emulator of a Binary Decision Process
Abstract. Computation time is an important performance characteristic of computer vision algorithms. This paper shows how existing (slow) binary-valued decision algorithms can be a...
Jan Sochman, Jiri Matas
IDEAL
2007
Springer
16 years 24 days ago
Discriminating Microbial Species Using Protein Sequence Properties and Machine Learning
Abstract. Much work has been done to identify species-specific proteins in sequenced genomes and hence to determine their function. We assumed that such proteins have specific ph...
Ali Al-Shahib, David Gilbert, Rainer Breitling
LPNMR
2004
Springer
16 years 7 hour ago
Answer Set Programming with Clause Learning
A conflict clause represents a backtracking solver’s analysis of why a conflict occurred. This analysis can be used to further prune the search space and to direct the search h...
Jeffrey Ward, John S. Schlipf