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1
Incorporating Complex Cells into Neural Networks for Pattern Classification.
Incorporating Complex Cells into Neural Networks for Pattern Classification.
Incorporating Complex Cells into Neural Networks for Pattern Classification.
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Incorporating Complex Cells into Neural Networks for Pattern Classification.

James. Bergstra Universite de Montreal (Canada). 2011

Dissertation Abstracts International 73-02B.

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2
Automated methods of auditing and using terminology/ontology knowledge bases for natural language processing.
Automated methods of auditing and using terminology/ontology knowledge bases for natural language processing.
Automated methods of auditing and using terminology/ontology knowledge bases for natural language processing.
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Automated methods of auditing and using terminology/ontology knowledge bases for natural language processing.

Jung-Wei. Fan Columbia University. 2009

Dissertation Abstracts International 71-03B.

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3
Counting directed acyclic graphs and its application to Monte Carlo learning of Bayesian networks.
Counting directed acyclic graphs and its application to Monte Carlo learning of Bayesian networks.
Counting directed acyclic graphs and its application to Monte Carlo learning of Bayesian networks.
Material Type:
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Counting directed acyclic graphs and its application to Monte Carlo learning of Bayesian networks.

Nicandro. Flores University of Colorado at Boulder. Mathematics. 2007

Masters Abstracts International 46-03.

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4
Efficient case-based reasoning through feature weighting, and its application in protein crystallography.
Efficient case-based reasoning through feature weighting, and its application in protein crystallography.
Efficient case-based reasoning through feature weighting, and its application in protein crystallography.
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Efficient case-based reasoning through feature weighting, and its application in protein crystallography.

Kreshna. Gopal Texas A&M University. 2007

Dissertation Abstracts International 68-09B.

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5
Symmetry and asymmetry analysis and its significance in neuro-imaging applications.
Symmetry and asymmetry analysis and its significance in neuro-imaging applications.
Symmetry and asymmetry analysis and its significance in neuro-imaging applications.
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Symmetry and asymmetry analysis and its significance in neuro-imaging applications.

Xin. Liu Columbia University. 2008

Dissertation Abstracts International 69-03B.

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6
Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools.
Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools.
Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools.
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Folding biological sequences on a three-dimensional triangular lattice: Algorithms and tools.

Martin. Mayne Utah State University. 2007

Masters Abstracts International 46-02.

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7
Using structural information in machine learning applications .
Using structural information in machine learning applications .
Using structural information in machine learning applications .
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Using structural information in machine learning applications .

Zafer. Barutcuoglu Princeton University. 2008

Dissertation Abstracts International 69-08B.

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8
Predicting protein molecular function.
Predicting protein molecular function.
Predicting protein molecular function.
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Predicting protein molecular function.

Barbara Elizabeth. Engelhardt University of California, Berkeley. 2007

Dissertation Abstracts International 69-05B.

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9
Computational methods for analyzing and modeling gene regulation dynamics.
Computational methods for analyzing and modeling gene regulation dynamics.
Computational methods for analyzing and modeling gene regulation dynamics.
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Computational methods for analyzing and modeling gene regulation dynamics.

Jason. Ernst Carnegie Mellon University. 2008

Dissertation Abstracts International 69-08B.

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10
Toward utilization of neuro-fuzzy systems for taxonomic identification using psittacines as a case study.
Toward utilization of neuro-fuzzy systems for taxonomic identification using psittacines as a case study.
Toward utilization of neuro-fuzzy systems for taxonomic identification using psittacines as a case study.
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Toward utilization of neuro-fuzzy systems for taxonomic identification using psittacines as a case study.

Cynthia R. Spiess Southern Illinois University at Carbondale. Computer Science. 2008

Masters Abstracts International 47-01.

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