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» Approximate algorithms for neural-Bayesian approaches
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ICML
2005
IEEE
16 years 6 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
150
Voted
SIGECOM
2006
ACM
119views ECommerce» more  SIGECOM 2006»
15 years 12 months ago
Nash equilibria in graphical games on trees revisited
Graphical games have been proposed as a game-theoretic model of large-scale distributed networks of non-cooperative agents. When the number of players is large, and the underlying...
Edith Elkind, Leslie Ann Goldberg, Paul W. Goldber...
EWSN
2008
Springer
16 years 5 months ago
Predictive Modeling-Based Data Collection in Wireless Sensor Networks
Abstract. We address the problem of designing practical, energy-efficient protocols for data collection in wireless sensor networks using predictive modeling. Prior work has sugges...
Lidan Wang, Amol Deshpande
ICANN
2007
Springer
15 years 10 months ago
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...
KDD
1997
ACM
154views Data Mining» more  KDD 1997»
15 years 9 months ago
Autonomous Discovery of Reliable Exception Rules
This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
Einoshin Suzuki