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» Discovering Cortical Algorithms
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WWW
2008
ACM
14 years 8 months ago
IRLbot: scaling to 6 billion pages and beyond
This paper shares our experience in designing a web crawler that can download billions of pages using a single-server implementation and models its performance. We show that with ...
Hsin-Tsang Lee, Derek Leonard, Xiaoming Wang, Dmit...
KDD
2009
ACM
159views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation
Effective diagnosis of Alzheimer's disease (AD), the most common type of dementia in elderly patients, is of primary importance in biomedical research. Recent studies have de...
Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Tere...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
14 years 8 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
SISAP
2009
IEEE
149views Data Mining» more  SISAP 2009»
14 years 2 months ago
Combinatorial Framework for Similarity Search
—We present an overview of the combinatorial framework for similarity search. An algorithm is combinatorial if only direct comparisons between two pairwise similarity values are ...
Yury Lifshits
CLEF
2007
Springer
14 years 1 months ago
ParaMor: Finding Paradigms across Morphology
Our algorithm, ParaMor, fared well in Morpho Challenge 2007 (Kurimo et al., 2007), a peer operated competition pitting against one another algorithms designed to discover the morp...
Christian Monson, Jaime G. Carbonell, Alon Lavie, ...