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» A Theory of Information-Flow Labels
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FOCS
2006
IEEE
15 years 3 months ago
Hardness of Learning Halfspaces with Noise
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
Venkatesan Guruswami, Prasad Raghavendra
KCAP
2005
ACM
15 years 3 months ago
An ontological approach to the construction of problem-solving models
Our ongoing work aims at defining an ontology-centered approach for building expertise models for the CommonKADS methodology. This approach (which is named "OntoKADS") i...
Sabine Bruaux, Gilles Kassel, Gilles Morel
CIKM
2008
Springer
14 years 11 months ago
A language for manipulating clustered web documents results
We propose a novel conception language for exploring the results retrieved by several internet search services (like search engines) that cluster retrieved documents. The goal is ...
Gloria Bordogna, Alessandro Campi, Giuseppe Psaila...
WWW
2011
ACM
14 years 4 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
PODS
2008
ACM
211views Database» more  PODS 2008»
15 years 9 months ago
The power of two min-hashes for similarity search among hierarchical data objects
In this study we propose sketching algorithms for computing similarities between hierarchical data. Specifically, we look at data objects that are represented using leaf-labeled t...
Sreenivas Gollapudi, Rina Panigrahy