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KDD
2002
ACM
148views Data Mining» more  KDD 2002»
16 years 7 months ago
Discovering informative content blocks from Web documents
In this paper, we propose a new approach to discover informative contents from a set of tabular documents (or Web pages) of a Web site. Our system, InfoDiscoverer, first partition...
Shian-Hua Lin, Jan-Ming Ho
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 8 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
KDD
2000
ACM
140views Data Mining» more  KDD 2000»
15 years 10 months ago
Effective Retrieval of Audio Information from Annotated Text Using Ontologies
To improve the accuracy in terms of precision and recall of an audio information retrieval system we have created a domainspecific ontology (a collection of key concepts and their...
Latifur Khan, Dennis McLeod
PAKDD
2005
ACM
184views Data Mining» more  PAKDD 2005»
16 years 8 days ago
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
Luo Si, Rong Jin
KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 10 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...