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ICML
2008
IEEE
16 years 8 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
ICML
2006
IEEE
16 years 8 months ago
Fast and space efficient string kernels using suffix arrays
String kernels which compare the set of all common substrings between two given strings have recently been proposed by Vishwanathan & Smola (2004). Surprisingly, these kernels...
Choon Hui Teo, S. V. N. Vishwanathan
ICML
1996
IEEE
16 years 8 months ago
Representing and Learning Quality-Improving Search Control Knowledge
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
M. Alicia Pérez
ICML
1995
IEEE
16 years 8 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III
SIGSOFT
2009
ACM
16 years 8 months ago
Static data race detection for concurrent programs with asynchronous calls
A large number of industrial concurrent programs are being designed based on a model which combines threads with event-based communication. These programs consist of several threa...
Vineet Kahlon, Nishant Sinha, Erik Kruus, Yun Zhan...