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CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 7 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
COCO
2004
Springer
147views Algorithms» more  COCO 2004»
15 years 11 months ago
The Complexity of the Covering Radius Problem on Lattices and Codes
We initiate the study of the computational complexity of the covering radius problem for point lattices, and approximation versions of the problem for both lattices and linear cod...
Venkatesan Guruswami, Daniele Micciancio, Oded Reg...
ICML
1996
IEEE
16 years 8 months ago
Toward Optimal Feature Selection
In this paper, we examine a method for feature subset selection based on Information Theory. Initially, a framework for de ning the theoretically optimal, but computationally intr...
Daphne Koller, Mehran Sahami
ALGORITHMICA
2004
84views more  ALGORITHMICA 2004»
15 years 7 months ago
Computing Diameter in the Streaming and Sliding-Window Models
We investigate the diameter problem in the streaming and slidingwindow models. We show that, for a stream of n points or a sliding window of size n, any exact algorithm for diamet...
Joan Feigenbaum, Sampath Kannan, Jian Zhang 0004
ICDE
2007
IEEE
145views Database» more  ICDE 2007»
16 years 8 months ago
On Multidimensional k-Anonymity with Local Recoding Generalization
This paper presents the first theoretical study, on using local-recoding generalization (LRG) to compute a kanonymous table with quality guarantee. First, we prove that it is NP-h...
Yang Du, Tian Xia, Yufei Tao, Donghui Zhang, Feng ...