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ICML
2010
IEEE
15 years 26 days ago
SVM Classifier Estimation from Group Probabilities
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
Stefan Rüping
UAI
2004
15 years 1 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
ICAS
2006
IEEE
140views Robotics» more  ICAS 2006»
15 years 5 months ago
Control System Framework for Autonomous Robots Based on Extended State Machines
We present a new framework optimized for the design, implementation, and testing of control systems for autonomous robots. It is based on a new visual specification language whic...
Torsten Merz, Piotr Rudol, Mariusz Wzorek
ICML
1996
IEEE
16 years 18 days ago
Sensitive Discount Optimality: Unifying Discounted and Average Reward Reinforcement Learning
Research in reinforcementlearning (RL)has thus far concentrated on two optimality criteria: the discounted framework, which has been very well-studied, and the averagereward frame...
Sridhar Mahadevan
ICML
2005
IEEE
16 years 18 days ago
Linear Asymmetric Classifier for cascade detectors
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
Jianxin Wu, Matthew D. Mullin, James M. Rehg