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» Efficient noise-tolerant learning from statistical queries
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ICML
2006
IEEE
14 years 9 months ago
Active sampling for detecting irrelevant features
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
Sriharsha Veeramachaneni, Emanuele Olivetti, Paolo...
MM
2004
ACM
170views Multimedia» more  MM 2004»
14 years 2 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
WWW
2008
ACM
14 years 9 months ago
SPARQL basic graph pattern optimization using selectivity estimation
In this paper, we formalize the problem of Basic Graph Pattern (BGP) optimization for SPARQL queries and main memory graph implementations of RDF data. We define and analyze the c...
Markus Stocker, Andy Seaborne, Abraham Bernstein, ...
CIDM
2007
IEEE
14 years 1 months ago
Mining the Students' Learning Interest in Browsing Web-Streaming Lectures
Web-Streaming lectures overcome the space and time barriers between learning and teaching, but bring higher requirements on the learning feedback of students when they browse lectu...
Long Wang 0002, Christoph Meinel
KDD
2009
ACM
193views Data Mining» more  KDD 2009»
14 years 3 months ago
Category detection using hierarchical mean shift
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to iden...
Pavan Vatturi, Weng-Keen Wong