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» Boosting for transfer learning
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94
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ICML
2006
IEEE
16 years 1 months ago
Learning a kernel function for classification with small training samples
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
115
Voted
AIPS
2010
15 years 29 days ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
SIGIR
2008
ACM
15 years 20 days ago
Learning to rank with partially-labeled data
Ranking algorithms, whose goal is to appropriately order a set of objects/documents, are an important component of information retrieval systems. Previous work on ranking algorith...
Kevin Duh, Katrin Kirchhoff
105
Voted
JUCS
2008
156views more  JUCS 2008»
15 years 22 days ago
Efficient k-out-of-n Oblivious Transfer Schemes
Abstract: Oblivious transfer is an important cryptographic protocol in various security applications. For example, in on-line transactions, a k-out-of-n oblivious transfer scheme a...
Cheng-Kang Chu, Wen-Guey Tzeng
BMCBI
2006
100views more  BMCBI 2006»
15 years 25 days ago
Using the nucleotide substitution rate matrix to detect horizontal gene transfer
Background: Horizontal gene transfer (HGT) has allowed bacteria to evolve many new capabilities. Because transferred genes perform many medically important functions, such as conf...
Micah Hamady, M. D. Betterton, Rob Knight