117 search results - page 5 / 24 » Theoretical Analysis of Mission-Based Learning Model |
VLSISP
1998
14 years 9 months ago
1998
This paper presents an adaptive structure self-organizing finite mixture network for quantification of magnetic resonance (MR) brain image sequences. We present justification fo...
CCS
2009
ACM
15 years 4 months ago
2009
ACM
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
73
Voted
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper analyzes the performance of semisupervised learning of mixture models. We show that unlabeled data can lead to an increase in classification error even in situations wh...
97
Voted
COGSCI
2008
14 years 8 months ago
2008
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
112
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ICS
2005
Tsinghua U.
15 years 3 months ago
2005
Tsinghua U.
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...