73 search results - page 3 / 15 » Detecting the Learning Value of Items In a Randomized Proble... |
ISCIS
2003
Springer
14 years 1 months ago
2003
Springer
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
SIGIR
2008
ACM
13 years 8 months ago
2008
ACM
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Coronary Heart Disease can be diagnosed by assessing the regional motion of the heart walls in ultrasound images of the left ventricle. Even for experts, ultrasound images are dif...
SARA
2005
Springer
14 years 2 months ago
2005
Springer
Sets of features in Markov decision processes can play a critical role ximately representing value and in abstracting the state space. Selection of features is crucial to the succe...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
Algorithmic pricing is the computational problem that sellers (e.g., in supermarkets) face when trying to set prices for their items to maximize their profit in the presence of a ...