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» Practical Preference Relations for Large Data Sets
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ICMLA
2010
15 years 3 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 5 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
BMCBI
2007
265views more  BMCBI 2007»
15 years 5 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
EDBT
2000
ACM
15 years 8 months ago
A Data Model for Effectively Computable Functions
the research activities. This abstract is to introduce the approach of a data model - EP data model. Its data structure is able to store as a finite set of nodes arbitrary effectiv...
Kevin H. Xu
IPPS
2009
IEEE
15 years 11 months ago
Network awareness of P2P live streaming applications
Abstract—Early P2P-TV systems have already attracted millions of users, and many new commercial solutions are entering this market. Little information is however available about ...
Delia Ciullo, M.-A. Garcia da Rocha Neta, Á...