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ICASSP
2008
IEEE
16 years 1 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott
CSB
2005
IEEE
149views Bioinformatics» more  CSB 2005»
16 years 6 days ago
Combinatorial method of splice sites prediction
Predicting and proper ranking of splice sites (SS) is a challenging problem in bioinformatics and machine learning communities. Proposed method of donor and acceptor SSs predictio...
Alexander G. Churbanov, Hesham H. Ali
SIGIR
2005
ACM
16 years 4 days ago
Question answering passage retrieval using dependency relations
State-of-the-art question answering (QA) systems employ termdensity ranking to retrieve answer passages. Such methods often retrieve incorrect passages as relationships among ques...
Hang Cui, Renxu Sun, Keya Li, Min-Yen Kan, Tat-Sen...
SLSFS
2005
Springer
16 years 1 days ago
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
Amit Gruber, Yair Weiss
SIGIR
2010
ACM
15 years 10 months ago
Multilabel classification with meta-level features
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
Siddharth Gopal, Yiming Yang