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» Dimensions of machine learning in design
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ICML
2008
IEEE
14 years 11 months ago
Sequence kernels for predicting protein essentiality
The problem of identifying the minimal gene set required to sustain life is of crucial importance in understanding cellular mechanisms and designing therapeutic drugs. This work d...
Cyril Allauzen, Mehryar Mohri, Ameet Talwalkar
ICML
2004
IEEE
14 years 11 months ago
Parameter space exploration with Gaussian process trees
Computer experiments often require dense sweeps over input parameters to obtain a qualitative understanding of their response. Such sweeps can be prohibitively expensive, and are ...
Robert B. Gramacy, Herbert K. H. Lee, William G. M...
ROBOCUP
1998
Springer
101views Robotics» more  ROBOCUP 1998»
14 years 2 months ago
Evolving Team Darwin United
The RoboCup simulator competition is one of the most challenging international proving grounds for contemporary AI research. Exactly because of the high level of complexity and a l...
David Andre, Astro Teller
EDUTAINMENT
2006
Springer
14 years 2 months ago
Computer-Assisted Teaching in Class Situation: A High-School Math Lab on Vectors
This paper presents our design and experiment of a computer-assisted class laboratory on vectors in high-school. Our main goal is to improve the acquisition on notions by all pupi...
Maud Marchal, Peggy Provent, Frederic Ruyer, Pirou...
ML
2008
ACM
135views Machine Learning» more  ML 2008»
13 years 10 months ago
Compiling pattern matching to good decision trees
We address the issue of compiling ML pattern matching to compact and efficient decisions trees. Traditionally, compilation to decision trees is optimized by (1) implementing decis...
Luc Maranget