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» Experimental Design for Variable Selection in Data Bases
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IJCAI
1997
15 years 8 months ago
Law Discovery using Neural Networks
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
Kazumi Saito, Ryohei Nakano
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 12 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
COMPSEC
2004
131views more  COMPSEC 2004»
15 years 6 months ago
Biometric random number generators
Abstract Up to now biometric methods have been used in cryptography for authentication purposes. In this paper we propose to use biological data for generating sequences of random ...
Janusz Szczepanski, Elek Wajnryb, José M. A...
NIPS
2004
15 years 8 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
UIC
2007
Springer
16 years 24 days ago
Maximizing Network Lifetime Under Reliability Constraints Using a Cross-Layer Design in Dense Wireless Sensor Networks
Abstract. Recent experimental studies have shown that radio links between low-power devices are extremely unreliable. In particular, the instability and unpredictability of low-pow...
Shan Guo Quan, Young Yong Kim