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136
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HICSS
2003
IEEE
112views Biometrics» more  HICSS 2003»
15 years 9 months ago
Learning Through Telemedicine Networks
Telemedicine is advocated for its potential to improve the accessibility and quality of health care delivery while lowering costs [1]. Although the potential benefits of telemedic...
Liqiong Deng, Marshall Scott Poole
115
Voted
ICML
2000
IEEE
16 years 4 months ago
Bayesian Averaging of Classifiers and the Overfitting Problem
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
Pedro Domingos
119
Voted
COLT
2005
Springer
15 years 9 months ago
Towards a Theoretical Foundation for Laplacian-Based Manifold Methods
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed “manifold-motivatedâ€...
Mikhail Belkin, Partha Niyogi
146
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FUIN
2008
108views more  FUIN 2008»
15 years 2 months ago
Learning Ground CP-Logic Theories by Leveraging Bayesian Network Learning Techniques
Causal relations are present in many application domains. Causal Probabilistic Logic (CP-logic) is a probabilistic modeling language that is especially designed to express such rel...
Wannes Meert, Jan Struyf, Hendrik Blockeel
124
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SIGOPS
2008
146views more  SIGOPS 2008»
15 years 3 months ago
Vigilant: out-of-band detection of failures in virtual machines
What do our computer systems do all day? How do we make sure they continue doing it when failures occur? Traditional approaches to answering these questions often involve inband m...
Dan Pelleg, Muli Ben-Yehuda, Richard Harper, Lisa ...