2223 search results - page 176 / 445 » Implicit Online Learning |
165
Voted
ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
161
Voted
IROS
2007
IEEE
16 years 13 days ago
2007
IEEE
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
171
Voted
NIPS
1998
15 years 7 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
170
Voted
ICDM
2010
IEEE
15 years 4 months ago
2010
IEEE
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
183
Voted
ICML
2004
IEEE
15 years 11 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...