3250 search results - page 135 / 650 » Parameterized Learning Complexity |
130
Voted
ILP
2007
Springer
15 years 8 months ago
2007
Springer
In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
112
Voted
ECAI
2004
Springer
15 years 8 months ago
2004
Springer
Distributed constraint satisfaction, in its most general acceptation, involves a collection of agents solving local constraint satisfaction subproblems, and a communication protoco...
164
Voted
IWCM
2004
Springer
15 years 8 months ago
2004
Springer
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
110
Voted
FOCS
2009
IEEE
15 years 9 months ago
2009
IEEE
Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical prop...
121
Voted
MTSR
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we identify the requirements for creating formal descriptions of learning scenarios designed under the European Higher Education Area paradigm, using competences and ...