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ECML
2007
Springer
16 years 27 days ago
Class Noise Mitigation Through Instance Weighting
We describe a novel framework for class noise mitigation that assigns a vector of class membership probabilities to each training instance, and uses the confidence on the current ...
Umaa Rebbapragada, Carla E. Brodley
195
Voted
SIGIR
2004
ACM
16 years 4 days ago
Locality preserving indexing for document representation
Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Index...
Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma
DEXAW
1999
IEEE
106views Database» more  DEXAW 1999»
15 years 11 months ago
Textual Similarities Based on a Distributional Approach
The design of efficient textual similarities is an important issue in the domain of textual data exploration. Textual similarities are for example central in document collection s...
Romaric Besançon, Martin Rajman, Jean-C&eac...
SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
15 years 8 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
ACL
2006
15 years 8 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang