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ICML
2010
IEEE
15 years 7 months ago
Modeling Interaction via the Principle of Maximum Causal Entropy
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
Brian Ziebart, J. Andrew Bagnell, Anind K. Dey
DATAMINE
2006
139views more  DATAMINE 2006»
15 years 6 months ago
Discovering Classification from Data of Multiple Sources
In many large e-commerce organizations, multiple data sources are often used to describe the same customers, thus it is important to consolidate data of multiple sources for intell...
Charles X. Ling, Qiang Yang
TC
2008
15 years 6 months ago
Adaptive Fault Management of Parallel Applications for High-Performance Computing
As the scale of high-performance computing (HPC) continues to grow, failure resilience of parallel applications becomes crucial. In this paper, we present FT-Pro, an adaptive fault...
Zhiling Lan, Yawei Li
DSS
2000
82views more  DSS 2000»
15 years 6 months ago
The adoption of electronic data interchange: a model and practical tool for managers
Despite the benefits of standards-based Electronic Data Interchange (EDI) modes of communication, only a small percentage of organizations have adopted even a single form of EDI. ...
Frederick Kaefer, Elliot Bendoly
FUIN
2002
132views more  FUIN 2002»
15 years 6 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna