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1
Coevolution of intelligent agents using cartesian genetic programming
July 2007
GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation
Publisher: ACM
Full text available: PdfPdf (373.83 KB)
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Bibliometrics:  Downloads (6 Weeks): 10,   Downloads (12 Months): 45,   Downloads (Overall): 204,    Citation Count: 5

A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartmentalised model of neurons. We have taken the view that the genetic basis ...


Keywords: artificial neural networks, brain, co-evolution, genetic programming
2
On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach
July 1997
ICML '97: Proceedings of the Fourteenth International Conference on Machine Learning
Publisher: Morgan Kaufmann Publishers Inc.
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3
An analysis of a connectionist internal representation: do RAAM networks produce truly distributed representations?
January 1993
An analysis of a connectionist internal representation: do RAAM networks produce truly distributed representations?
Publisher: New Mexico State University
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Keywords: neural networks
4
Temporal difference learning for heuristic search and game playing
January 2000
Information Sciences: an International Journal , Volume 122 Issue 1
Publisher: Elsevier Science Inc.
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Keywords: chess, games, heuristic, learning, temporal difference
5
Hopfield networks, neural data structures and the nine flies problem: neural network programming projects for undergraduates
December 1993
SIGCSE Bulletin , Volume 25 Issue 4
Publisher: ACM
Full text available: PdfPdf (663.60 KB)
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This paper describes two neural network programming projects suitable for undergraduate students who have already completed introductory courses in Programming and Data Structures. It briefly outlines the structure and operation of Hopfield Networks ...

6
Dna binding economies
January 2007
Dna binding economies
Publisher: Massachusetts Institute of Technology
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This thesis develops a new scalable modeling framework at the interface of game theory and machine learning to recover economic structures from limited slices of data. Inference using economic models has broad applicability in machine learning. Economic ...

7
Payoff-Monotonic Game Dynamics and the Maximum Clique Problem
May 2006
Neural Computation , Volume 18 Issue 5
Publisher: MIT Press
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Evolutionary game-theoretic models and, in particular, the so-called replicator equations have recently proven to be remarkably effective at approximately solving the maximum clique and related problems. The approach is centered around a classic result ...

8
Including a simplicity criterion in the selection of the best rule in a genetic fuzzy learning algorithm
June 2001
Fuzzy Sets and Systems , Volume 120 Issue 2
Publisher: Elsevier North-Holland, Inc.
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Keywords: fuzzy rules, genetic algorithms, machine learning
9
Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea Sandstone
October 2007
ICDMW '07: Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
Publisher: IEEE Computer Society
Full text available: Publisher SitePublisher Site
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A neural network trained using the counterpropagation algorithm to produce stochastic conditional simulations is applied and evaluated on a real dataset. This type of network is a non-parametric clustering algorithm not constrained by assumptions (i.e. ...

10
Sparse adaptive memory
September 1995
Sparse adaptive memory
Publisher: Stanford University
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Keywords: Bayesian classification, adaptive learning, pattern recognition
11
Constructing optimal educational tests using GMDH-based item ranking and selection
January 2009
Neurocomputing , Volume 72 Issue 4-6
Publisher: Elsevier Science Publishers B. V.
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Item ranking and selection plays a key role in constructing concise and informative educational tests. Traditional techniques based on the item response theory (IRT) have been used to automate this task, but they require model parameters to be determined ...


Keywords: Abductive networks, Educational measurements, Feature ranking, Feature selection, Filter methods, GMDH algorithm, Genetic algorithms, Item response theory, Machine learning, Mutual information, Neural networks, Optimal test design, Wrapper methods
12
Off to new shores: conceptual knowledge discovery and processing
September 2003
International Journal of Human-Computer Studies , Volume 59 Issue 3
Publisher: Academic Press, Inc.
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In the last years, the main orientation of formal concept analysis (FCA) has turned from mathematics towards computer science. This article provides a review of this new orientation and analyses why and how FCA and computer science attracted each other. ...


Keywords: formal concept analysis, knowledge discovery, knowledge engineering, ontologies
13
Application of support vector machines in scour prediction on grade-control structures
March 2009
Engineering Applications of Artificial Intelligence , Volume 22 Issue 2
Publisher: Pergamon Press, Inc.
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Research into the problem of predicting the maximum depth of scour on grade-control structures like sluice gates, weirs and check dams, etc., has been mainly of an experimental nature and several investigators have proposed a number of empirical relations ...


Keywords: Back propagation neural network, Grade-control structures, Modeling, Scour, Support vector machines
14
Fusion devices and changes of belief
January 2008
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology , Volume 19 Issue 1
Publisher: IOS Press
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After receiving a piece of evidence Π, intelligent agents adapt their belief state. Knowing the belief state of several sensor agents, a fusion agent forms its own belief state. A belief state (old or new) is characterized by numbers μ(A) attached ...


Keywords: Belief, fusion, imprecise reasoning
15
Construction and analysis of educational tests using abductive machine learning
August 2008
Computers & Education , Volume 51 Issue 1
Publisher: Elsevier Science Ltd.
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Recent advances in educational technologies and the wide-spread use of computers in schools have fueled innovations in test construction and analysis. As the measurement accuracy of a test depends on the quality of the items it includes, item selection ...


Keywords: Abductive machine learning, Abductive networks, Educational measurements, Item response theory, Neural networks, Optimal test design, Test analysis, Test construction
16
Design and simulation of digital optical computing systems for artificial intelligence
November 1995
Design and simulation of digital optical computing systems for artificial intelligence
Publisher: University of Arizona
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Keywords: expert systems, rule based system
17
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
June 2002
Applied Intelligence , Volume 17 Issue 1
Publisher: Kluwer Academic Publishers
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Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about complex phenomena during autonomous adaptive control of robotic systems. This paper ...


Keywords: incremental learning, internal models, locally weighted learning, motor control, nonparametric regression
18
Silicon neurons
October 1992
BYTE , Volume 17 Issue 10
Publisher: McGraw-Hill, Inc.
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19
Feed forward backpropagation algorithm for estimating reference evapotranspiration in Burkina Faso
July 2008
ICCOMP'08: Proceedings of the 12th WSEAS international conference on Computers
Publisher: World Scientific and Engineering Academy and Society (WSEAS)
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Reference evapotranspiration (ETo) identified as a key hydrological variable, has been widely used for agricultural water management. Its accurate estimation is vitally important for computerizing crop water balance analysis. The sole recommended method ...


Keywords: agricultural water management, evapotranspiration, feed forward backpropagation, neural network, semiarid environment
20
Learning higher order correlations
March 1993
Neural Networks , Volume 6 Issue 3
Publisher: Elsevier Science Ltd.
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Keywords: higher order neurons, hypersurface fitting, pattern classification, principal component analysis
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