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NIPS
2007
14 years 11 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
WABI
2009
Springer
117views Bioinformatics» more  WABI 2009»
15 years 4 months ago
A Simulation Study Comparing Supertree and Combined Analysis Methods Using SMIDGen
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...
M. Shel Swenson, François Barbançon,...
TITS
2008
96views more  TITS 2008»
14 years 9 months ago
A Sampling Theorem Approach to Traffic Sensor Optimization
Abstract--With the objective of minimizing the total cost, which includes both sensor and congestion costs, the authors adopted a novel sampling theorem approach to address the pro...
Woei Ling Leow, Daiheng Ni, Hossein Pishro-Nik
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
15 years 4 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
JOLLI
2010
142views more  JOLLI 2010»
14 years 8 months ago
Towards a Type-Theoretical Account of Lexical Semantics
After a quick overview of the field of study known as “Lexical Semantics”, where we advocate the need of accessing additional information besides syntax and Montaguestyle sema...
Christian Bassac, Bruno Mery, Christian Retor&eacu...