1419 search results - page 175 / 284 » Approximation Methods for Supervised Learning |
111
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NPL
1998
15 years 1 months ago
1998
Adaptive artificial neural network techniques are introduced and applied to the factorization of 2-D second order polynomials. The proposed neural network is trained using a const...
107
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PR
2007
15 years 1 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
123
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
EMNLP
2006
15 years 3 months ago
2006
We propose a conditional random fieldbased method for supertagging, and apply it to the task of learning new lexical items for HPSG-based precision grammars of English and Japanes...
119
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FOCI
2007
IEEE
15 years 8 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...