IJCAI 2007 | Sciweavers

27

IJCAI
2007

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Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters

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— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...

Volker Nannen, A. E. Eiben

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IJCAI
2007

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A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning

14 years 1 months ago

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In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...

Dit-Yan Yeung, Hong Chang, Guang Dai

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IJCAI
2007

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Compiling Bayesian Networks Using Variable Elimination

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Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we deﬁne a new method of comp...

Mark Chavira, Adnan Darwiche

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IJCAI
2007

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Hierarchical Heuristic Forward Search in Stochastic Domains

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Nicolas Meuleau, Ronen I. Brafman

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IJCAI
2007

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Adaptation of Organizational Models for Multi-Agent Systems Based on Max Flow Networks

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Mark Hoogendoorn

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IJCAI
2007

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Concept Sampling: Towards Systematic Selection in Large-Scale Mixed Concepts in Machine Learning

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This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...

Yi Zhang 0010, Xiaoming Jin

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IJCAI
2007

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Market Based Resource Allocation with Incomplete Information

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Although there are some research efforts toward resource allocation in multi-agent systems (MAS), most of these work assume that each agent has complete information about other ag...

Bo An, Chunyan Miao, Zhiqi Shen

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IJCAI
2007

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Hybrid Elections Broaden Complexity-Theoretic Resistance to Control

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Electoral control refers to attempts by an election’s organizer (“the chair”) to inﬂuence the outcome by adding/deleting/partitioning voters or candidates. The groundbreak...

Edith Hemaspaandra, Lane A. Hemaspaandra, Jör...

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IJCAI
2007

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Relational Knowledge with Predictive State Representations

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Most work on Predictive Representations of State (PSRs) has focused on learning and planning in unstructured domains (for example, those represented by ﬂat POMDPs). This paper e...

David Wingate, Vishal Soni, Britton Wolfe, Satinde...

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IJCAI
2007

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Grounding Abstractions in Predictive State Representations

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