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精簡: 著者: University of Maryland, College Park. Computer Science 刪除
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1
Guided self-organizing particle systems for basic problem solving .
Guided self-organizing particle systems for basic problem solving .
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Guided self-organizing particle systems for basic problem solving .

Alejandro. Rodriguez University of Maryland, College Park. Computer Science. 2007

Dissertation Abstracts International 68-04B.

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2
Bilattice based logical reasoning for automated visual surveillance and other applications.
Bilattice based logical reasoning for automated visual surveillance and other applications.
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Bilattice based logical reasoning for automated visual surveillance and other applications.

Vinay Damodar. Shet University of Maryland, College Park. Computer Science. 2007

Dissertation Abstracts International 68-04B.

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3
Adapting swarm intelligence for the self-assembly of prespecified artificial structures.
Adapting swarm intelligence for the self-assembly of prespecified artificial structures.
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Adapting swarm intelligence for the self-assembly of prespecified artificial structures.

Alexander. Grushin University of Maryland, College Park. Computer Science. 2007

Dissertation Abstracts International 68-04B.

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4
Artificial evolution of arbitrary self-replicating cellular automata.
Artificial evolution of arbitrary self-replicating cellular automata.
Artificial evolution of arbitrary self-replicating cellular automata.
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Artificial evolution of arbitrary self-replicating cellular automata.

Zhijian. Pan University of Maryland, College Park. Computer Science. 2007

Dissertation Abstracts International 68-07B.

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5
The influence of collective working memory strategies on agent teams.
The influence of collective working memory strategies on agent teams.
The influence of collective working memory strategies on agent teams.
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The influence of collective working memory strategies on agent teams.

Ransom Kershaw. Winder University of Maryland, College Park. Computer Science. 2007

Dissertation Abstracts International 68-08B.

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6
Scalable machine learning for massive datasets: Fast summation algorithms.
Scalable machine learning for massive datasets: Fast summation algorithms.
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Scalable machine learning for massive datasets: Fast summation algorithms.

Vikas Chandrakant. Raykar University of Maryland, College Park. Computer Science. 2007

Dissertation Abstracts International 68-04B.

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7
Synthesis of strategies for non-zero-sum repeated games.
Synthesis of strategies for non-zero-sum repeated games.
Synthesis of strategies for non-zero-sum repeated games.
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Synthesis of strategies for non-zero-sum repeated games.

Tsz-Chiu. Au University of Maryland, College Park. Computer Science. 2008

Dissertation Abstracts International 69-08B.

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8
Representing and querying uncertain data.
Representing and querying uncertain data.
Representing and querying uncertain data.
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Representing and querying uncertain data.

Prithviraj. Sen University of Maryland, College Park. Computer Science. 2009

Dissertation Abstracts International 71-02B.

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9
Prediction, evolution and privacy in social and affiliation networks.
Prediction, evolution and privacy in social and affiliation networks.
Prediction, evolution and privacy in social and affiliation networks.
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Prediction, evolution and privacy in social and affiliation networks.

Elena. Zheleva University of Maryland, College Park. Computer Science. 2011

Dissertation Abstracts International 73-02B.

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10
Generation and analysis of strategies in an evolutionary social learning game.
Generation and analysis of strategies in an evolutionary social learning game.
Generation and analysis of strategies in an evolutionary social learning game.
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Generation and analysis of strategies in an evolutionary social learning game.

James Ryan. Carr University of Maryland, College Park. Computer Science. 2013

Dissertation Abstracts International 74-11B(E).

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