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ICONIP
2007
15 years 8 months ago
Principal Component Analysis for Sparse High-Dimensional Data
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
Tapani Raiko, Alexander Ilin, Juha Karhunen
MSV
2007
15 years 8 months ago
Designing PRIMA: A Precise Visual Language for Modeling with Agents, in a Physical environment
In this paper we introduce PRIMA: A PRecise vIsual language for Modeling with Agents, in a physical environment. Our objective is to design an expressive Domain Specific Visual La...
Alexandre Muzy, Juan de Lara, Esther Guerra
NIPS
2007
15 years 8 months ago
Nearest-Neighbor-Based Active Learning for Rare Category Detection
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
Jingrui He, Jaime G. Carbonell
SWAP
2008
15 years 8 months ago
Grounding Semantic Web Services with Rules
Semantic web services achieve effects in the world through web services, so the connection to those services--the grounding--is of paramount importance. The established technique i...
David Lambert, John Domingue
TREC
2008
15 years 8 months ago
University of Waterloo at TREC 2008 Blog Track
The paper reports the University of Waterloo participation in the opinion and polarity tasks of the Blog track. The proposed method uses a lexicon built from several linguistic re...
Olga Vechtomova