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ATAL
2005
Springer
14 years 1 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
CCS
2005
ACM
14 years 1 months ago
On deriving unknown vulnerabilities from zero-day polymorphic and metamorphic worm exploits
Vulnerabilities that allow worms to hijack the control flow of each host that they spread to are typically discovered months before the worm outbreak, but are also typically disc...
Jedidiah R. Crandall, Zhendong Su, Shyhtsun Felix ...
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
14 years 1 months ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh
PREMI
2005
Springer
14 years 1 months ago
Computational Molecular Biology of Genome Expression and Regulation
Abstract. Technological advances in experimental and computational molecular biology have revolutionized the whole fields of biology and medicine. Large-scale sequencing, expressio...
Michael Q. Zhang
ACMICEC
2004
ACM
148views ECommerce» more  ACMICEC 2004»
14 years 1 months ago
A secure and private clarke tax voting protocol without trusted authorities
Electronic voting has become one of the most popular activities over the Internet. Security and privacy are always regarded as crucial factors in electronic voting system design. ...
Changjie Wang, Ho-fung Leung