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ECML
2007
Springer
16 years 1 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
ECML
1998
Springer
15 years 11 months ago
A Monotonic Measure for Optimal Feature Selection
Feature selection is a problem of choosing a subset of relevant features. Researchers have been searching for optimal feature selection methods. `Branch and Bound' and Focus a...
Huan Liu, Hiroshi Motoda, Manoranjan Dash
ICAC
2009
IEEE
15 years 4 months ago
Using distributed w-learning for multi-policy optimization in decentralized autonomic systems
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
Ivana Dusparic, Vinny Cahill
TIC
1998
Springer
127views System Software» more  TIC 1998»
15 years 11 months ago
Stack-Based Typed Assembly Language
In previous work, we presented a Typed Assembly Language (TAL). TAL is sufficiently expressive to serve as a target language for compilers of high-level languages such as ML. More...
J. Gregory Morrisett, Karl Crary, Neal Glew, David...
VL
2007
IEEE
166views Visual Languages» more  VL 2007»
16 years 1 months ago
Community-Based Scaffolding to Promote End-User Learning
End-user programming provides a unique opportunity to study informal computer science education and knowledge acquisition in the real world. We seek to explore the use of communit...
Brian Dorn