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ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 9 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
SIGIR
2006
ACM
14 years 3 months ago
Contextual search and name disambiguation in email using graphs
Similarity measures for text have historically been an important tool for solving information retrieval problems. In many interesting settings, however, documents are often closel...
Einat Minkov, William W. Cohen, Andrew Y. Ng
CIKM
2011
Springer
12 years 9 months ago
Semi-supervised multi-task learning of structured prediction models for web information extraction
Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user qu...
Paramveer S. Dhillon, Sundararajan Sellamanickam, ...
DKE
2010
101views more  DKE 2010»
13 years 9 months ago
Effective pruning for XML structural match queries
Extensible Markup Language (XML) is becoming the de facto standard for exchanging information over the Internet, which results in the proliferation of XML documents. This has led ...
Yefei Xin, Zhen He, Jinli Cao
CIKM
2008
Springer
13 years 11 months ago
Modeling hidden topics on document manifold
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai