7892 search results - page 1447 / 1579 » Programming with Models |
108
click to vote
NIPS
2008
15 years 2 months ago
2008
We consider the problem of multiple kernel learning (MKL), which can be formulated as a convex-concave problem. In the past, two efficient methods, i.e., Semi-Infinite Linear Prog...
125
click to vote
ISCAPDCS
2007
15 years 2 months ago
2007
Current research in autonomic computing suffers from the lack of a common definition of the basic autonomic entities. Defining and developing the basic autonomic entities and maki...
113
click to vote
NIPS
2008
15 years 2 months ago
2008
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...
109
click to vote
AAAI
2004
15 years 2 months ago
2004
In many real world planning scenarios, agents often do not have enough resources to achieve all of their goals. Consequently, they are forced to find plans that satisfy only a sub...
130
click to vote
AAAI
2006
15 years 2 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...