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GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
16 years 6 days ago
Parameter Adaptation within Co-adaptive Learning Classifier Systems
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
Chung-Yuan Huang, Chuen-Tsai Sun
WEBDB
2001
Springer
132views Database» more  WEBDB 2001»
15 years 11 months ago
Adaptive WebView Materialization
Dynamic content generation poses huge resource demands on web servers, creating a scalability problem. WebView Materialization, where web pages are cached and constantly refreshed...
Alexandros Labrinidis, Nick Roussopoulos
ICTAI
1994
IEEE
15 years 11 months ago
Tooling the Lexicon Acquisition Process for Large-Scale KBMT
Large-scale lexical knowledge acquisition is one of the most time critical steps in developing a knowledge-based machine translation system. In particular, developing the syntacti...
John R. R. Leavitt, Deryle W. Lonsdale, Kevin Keck...
NIPS
2008
15 years 8 months ago
An interior-point stochastic approximation method and an L1-regularized delta rule
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
Peter Carbonetto, Mark Schmidt, Nando de Freitas
SDM
2007
SIAM
167views Data Mining» more  SDM 2007»
15 years 8 months ago
Bandits for Taxonomies: A Model-based Approach
We consider a novel problem of learning an optimal matching, in an online fashion, between two feature spaces that are organized as taxonomies. We formulate this as a multi-armed ...
Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabar...