375 search results - page 37 / 75 » Making Abstract Machines Less Abstract |
AIIDE
2006
14 years 12 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
ECTEL
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. We present a study which compares human-human computermediated tutoring with two computer tutoring systems based on the same materials but differing in the type of feedba...
ICMLA
2010
14 years 8 months ago
2010
Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...
ICDM
2009
IEEE
14 years 8 months ago
2009
IEEE
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
IJFCS
2006
14 years 10 months ago
2006
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...