1339 search results - page 42 / 268 » Learning Functions from Imperfect Positive Data |
AAAI
2008
14 years 11 months ago
2008
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
103
Voted
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
84
Voted
ATAL
2007
Springer
15 years 3 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
103
Voted
WWW
2011
ACM
14 years 4 months ago
2011
ACM
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
ALT
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...