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ICML
2010
IEEE
15 years 4 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein
AAAI
2012
13 years 5 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
CEC
2008
IEEE
15 years 9 months ago
The population dynamics of Differential Evolution: A mathematical model
— Differential Evolution (DE) is well known as a simple and efficient algorithm for global optimization over continuous spaces. This article provides a simple mathematical model ...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Aj...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 9 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
VLSID
2004
IEEE
112views VLSI» more  VLSID 2004»
16 years 3 months ago
Designing Leakage Aware Multipliers
Power consumption has become a major design limiter. With the continued reduction of threshold voltages, optimizing leakage energy consumption is becoming increasingly important. ...
M. DeRenzo, Mary Jane Irwin, Narayanan Vijaykrishn...