2553 search results - page 250 / 511 » Evaluating machine creativity |
185
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FUIN
2010
15 years 1 months ago
2010
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
214
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AI
2011
Springer
14 years 10 months ago
2011
Springer
Abstract. Subspace mapping methods aim at projecting high-dimensional data into a subspace where a specific objective function is optimized. Such dimension reduction allows the re...
185
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CCS
2011
ACM
14 years 6 months ago
2011
ACM
Garbled circuits play a key role in secure computation. Unlike previous work, which focused mainly on efficiency and automation aspects of secure computation, in this paper we foc...
224
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ML
2008
ACM
15 years 6 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
178
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CIBCB
2007
IEEE
16 years 29 days ago
2007
IEEE
Abstract— We applied Support Vector Machines to the prediction of the subcellular localization of transmembrane proteins, and compared the performance of different sequence kerne...