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1
Stacked graphical learning for text mining.
Stacked graphical learning for text mining.
Stacked graphical learning for text mining.
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Stacked graphical learning for text mining.

Zhenzhen. Kou Carnegie Mellon University. 2008

Dissertation Abstracts International 69-02B.

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2
Discriminative techniques for the recognition of complex-shaped objects.
Discriminative techniques for the recognition of complex-shaped objects.
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Discriminative techniques for the recognition of complex-shaped objects.

Owen. Carmichael Carnegie Mellon University. 2003

Dissertation Abstracts International 64-12B.

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3
Multiagent learning in the presence of agents with limitations.
Multiagent learning in the presence of agents with limitations.
Multiagent learning in the presence of agents with limitations.
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Multiagent learning in the presence of agents with limitations.

Michael. Bowling Carnegie Mellon University. 2003

Dissertation Abstracts International 65-02B.

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4
Scalable and practical probability density estimators for scientific anomaly detection.
Scalable and practical probability density estimators for scientific anomaly detection.
Scalable and practical probability density estimators for scientific anomaly detection.
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Scalable and practical probability density estimators for scientific anomaly detection.

Dan. Pelleg Carnegie Mellon University. 2004

Dissertation Abstracts International 65-03B.

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5
Semi-supervised training of models for appearance-based statistical object detection methods.
Semi-supervised training of models for appearance-based statistical object detection methods.
Semi-supervised training of models for appearance-based statistical object detection methods.
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Semi-supervised training of models for appearance-based statistical object detection methods.

Charles Joseph. Rosenberg Carnegie Mellon University. 2004

Dissertation Abstracts International 65-05B.

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6
Coaching: Learning and using environment and agent models for advice.
Coaching: Learning and using environment and agent models for advice.
Coaching: Learning and using environment and agent models for advice.
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Coaching: Learning and using environment and agent models for advice.

Patrick. Riley Carnegie Mellon University. 2005

Dissertation Abstracts International 66-02B.

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7
Eliminating combinatorics from production match.
Eliminating combinatorics from production match.
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Eliminating combinatorics from production match.

Milind Shashikant. Tambe Carnegie Mellon University. 1991

Dissertation Abstracts International 52-04B.

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8
Statistical inference in mapping and localization for mobile robots.
Statistical inference in mapping and localization for mobile robots.
Statistical inference in mapping and localization for mobile robots.
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Statistical inference in mapping and localization for mobile robots.

Anita. Araneda Carnegie Mellon University. 2004

Dissertation Abstracts International 65-07B.

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9
Riemannian geometry and statistical machine learning.
Riemannian geometry and statistical machine learning.
Riemannian geometry and statistical machine learning.
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Riemannian geometry and statistical machine learning.

Guy. Lebanon Carnegie Mellon University. 2005

Dissertation Abstracts International 66-01B.

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10
Learning decisions: Robustness, uncertainty, and approximation.
Learning decisions: Robustness, uncertainty, and approximation.
Learning decisions: Robustness, uncertainty, and approximation.
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Learning decisions: Robustness, uncertainty, and approximation.

J. Andrew. Bagnell Carnegie Mellon University. 2004

Dissertation Abstracts International 65-12B.

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