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ECAI
2006
Springer
15 years 10 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
FPGA
2000
ACM
128views FPGA» more  FPGA 2000»
15 years 10 months ago
Factoring large numbers with programmable hardware
The fastest known algorithms for factoring large numbers share a core sieving technique. The sieving cores find numbers that are completely factored over a prime base set raised t...
Hea Joung Kim, William H. Mangione-Smith
AAAI
2008
15 years 9 months ago
Learning to Analyze Binary Computer Code
We present a novel application of structured classification: identifying function entry points (FEPs, the starting byte of each function) in program binaries. Such identification ...
Nathan E. Rosenblum, Xiaojin Zhu, Barton P. Miller...
APPROX
2008
Springer
71views Algorithms» more  APPROX 2008»
15 years 8 months ago
Tight Bounds for Hashing Block Sources
It is known that if a 2-universal hash function H is applied to elements of a block source (X1, . . . , XT ), where each item Xi has enough min-entropy conditioned on the previous...
Kai-Min Chung, Salil P. Vadhan
AUSDM
2008
Springer
258views Data Mining» more  AUSDM 2008»
15 years 8 months ago
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Ki...
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