544 search results - page 36 / 109 » Active Learning with Model Selection in Linear Regression |
162
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ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
140
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ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
106
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DIS
2006
Springer
15 years 5 months ago
2006
Springer
In supervised machine learning, variable ranking aims at sorting the input variables according to their relevance w.r.t. an output variable. In this paper, we propose a new relevan...
114
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NN
2006
Springer
15 years 1 months ago
2006
Springer
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
112
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BMCBI
2010
2010
KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials
15 years 1 months ago
Background: Identification of novel drug targets and their inhibitors is a major challenge in the field of drug designing and development. Diaminopimelic acid (DAP) pathway is a u...