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» PAC Learning from Positive Statistical Queries
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TKDE
2008
195views more  TKDE 2008»
13 years 7 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
BMCBI
2005
125views more  BMCBI 2005»
13 years 7 months ago
Query3d: a new method for high-throughput analysis of functional residues in protein structures
Background: The identification of local similarities between two protein structures can provide clues of a common function. Many different methods exist for searching for similar ...
Gabriele Ausiello, Allegra Via, Manuela Helmer-Cit...
IANDC
2006
102views more  IANDC 2006»
13 years 7 months ago
Polynomial certificates for propositional classes
This paper studies the complexity of learning classes of expressions in propositional logic from equivalence queries and membership queries. In particular, we focus on bounding th...
Marta Arias, Aaron Feigelson, Roni Khardon, Rocco ...
ICFCA
2007
Springer
14 years 1 months ago
A Parameterized Algorithm for Exploring Concept Lattices
Kuznetsov shows that Formal Concept Analysis (FCA) is a natural framework for learning from positive and negative examples. Indeed, the results of learning from positive examples (...
Peggy Cellier, Sébastien Ferré, Oliv...
ICML
2009
IEEE
14 years 2 months ago
A novel lexicalized HMM-based learning framework for web opinion mining
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. As e-commerce is becoming more an...
Wei Jin, Hung Hay Ho