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PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
IMC
2004
ACM
14 years 3 months ago
2004
ACM
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
IEEEPACT
2006
IEEE
14 years 4 months ago
2006
IEEE
Thread escape analysis conservatively determines which objects may be accessed in more than one thread. Thread escape analysis is useful for a variety of purposes – finding rac...
PLDI
2010
ACM
14 years 7 months ago
2010
ACM
Synthesis of program fragments from specifications can make programs easier to write and easier to reason about. To integrate synthesis into programming languages, synthesis algor...
KDD
1998
ACM
14 years 2 months ago
1998
ACM
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...