2190 search results - page 119 / 438 » Learning with the Set Covering Machine |
ECML
2007
Springer
14 years 3 months ago
2007
Springer
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...
ICFEM
2004
Springer
14 years 2 months ago
2004
Springer
We present a novel approach for verifying safety properties of finite state machines communicating over unbounded FIFO channels that is based on applying machine learning techniqu...
AI
1999
Springer
13 years 8 months ago
1999
Springer
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
COLT
1997
Springer
14 years 1 months ago
1997
Springer
The problem of learning linear discriminant concepts can be solved by various mistake-driven update procedures, including the Winnow family of algorithms and the well-known Percep...
ECML
2006
Springer
14 years 26 days ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...