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SIGIR
2006
ACM
16 years 18 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
KDD
2012
ACM
186views Data Mining» more  KDD 2012»
13 years 9 months ago
Maximum inner-product search using cone trees
The problem of efficiently finding the best match for a query in a given set with respect to the Euclidean distance or the cosine similarity has been extensively studied. However...
Parikshit Ram, Alexander G. Gray
WWW
2005
ACM
16 years 7 months ago
Comparing relevance feedback algorithms for web search
We evaluate three different relevance feedback (RF) algorithms, Rocchio, Robertson/Sparck-Jones (RSJ) and Bayesian, in the context of Web search. We use a target-testing experimen...
Vishwa Vinay, Kenneth R. Wood, Natasa Milic-Frayli...
157
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CLEF
2006
Springer
15 years 10 months ago
Vocabulary Reduction and Text Enrichment at WebCLEF
Nowadays, cross-lingual Information Retrieval (IR) is one of the greatest challenges to deal with. Besides, one of the most important issues in IR consists in the corpus vocabular...
Franco Rojas López, Héctor Jim&eacut...
BMCBI
2005
102views more  BMCBI 2005»
15 years 6 months ago
BioCreAtIvE Task1A: entity identification with a stochastic tagger
Background: Our approach to Task 1A was inspired by Tanabe and Wilbur's ABGene system [1,2]. Like Tanabe and Wilbur, we approached the problem as one of part-of-speech taggin...
Shuhei Kinoshita, K. Bretonnel Cohen, Philip V. Og...