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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 24 days 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
NIPS
1998
15 years 7 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...