209 search results - page 23 / 42 » Analyzing the Errors of Unsupervised Learning |
112
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TVLSI
2008
14 years 11 months ago
2008
We present a Mutation-based Validation Paradigm (MVP) technology that can handle complete high-level microprocessor implementations and is based on explicit design error modeling, ...
IJVR
2008
14 years 11 months ago
2008
The main goals of using simulations and Virtual Environments for Training/Learning (VET/L) are to avoid risks and unwanted consequences, to reduce training costs, and to promote tr...
108
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NIPS
2008
15 years 1 months ago
2008
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
AAAI
2000
15 years 1 months ago
2000
Systems that learn from examples often express the learned concept in the form of a disjunctive description. Disjuncts that correctly classify few training examples are known as s...
121
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ACL
2006
15 years 1 months ago
2006
This paper proposes a semi-supervised boosting approach to improve statistical word alignment with limited labeled data and large amounts of unlabeled data. The proposed approach ...