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EACL
2009
ACL Anthology
15 years 4 months ago
Optimization in Coreference Resolution is not Needed: A Nearly-Optimal Algorithm with Intensional Constraints
We show how global constraints such as transitivity can be treated intensionally in a Zero-One Integer Linear Programming (ILP) framework which is geared to find the optimal and c...
Manfred Klenner, Étienne Ailloud
ICML
2008
IEEE
16 years 7 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
ICALT
2007
IEEE
16 years 1 months ago
Managing Personalized and Adapted Medical Learning Objects
Medical learning objects deviates from traditional notion of learning object in that it is always in a digital form and relates to medication. They may include text, images, sound...
Juha Puustjärvi, Leena Puustjärvi
203
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NIPS
1998
15 years 8 months ago
Finite-Sample Convergence Rates for Q-Learning and Indirect Algorithms
In this paper, we address two issues of long-standing interest in the reinforcement learning literature. First, what kinds of performance guarantees can be made for Q-learning aft...
Michael J. Kearns, Satinder P. Singh
GECCO
2009
Springer
16 years 1 months ago
Optimal robust expensive optimization is tractable
Following a number of recent papers investigating the possibility of optimal comparison-based optimization algorithms for a given distribution of probability on fitness functions...
Philippe Rolet, Michèle Sebag, Olivier Teyt...