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  • Search: subject:"Artificial Intelligence and Image Processing"
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Subject
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APPLIED MATHEMATICS 2 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING 2 Artificial Intelligence and Image Processing 2 Artificial Intelligence and Image Processing not elsewhere classified 2 Learning systems 2 9404 Justice and the Law 1 Algorithms 1 COGNITIVE SCIENCE 1 Calculations 1 Computational complexity 1 Computational methods 1 Concentration inequalities 1 Econometric and Statistical Methods 1 Empirical penalties 1 Error analysis 1 Error estimation 1 Estimation 1 Gradient-based approaches 1 Integration 1 Market Reaction 1 Markov processes 1 Mathematical models 1 Model selection 1 Monte Carlo methods 1 Multi agent systems 1 News 1 OAVJ 1 Pattern recognition 1 Penalization 1 Policy parameters 1 Problem solving 1 Random processes 1 Reputation systems 1 Return 1 School of Management and Information Systems 1 Security 1 Stock Market 1 Trust 1 Trust management 1 Value-function methods 1
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Online availability
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Free 6
Type of publication
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Article 6
Type of publication (narrower categories)
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Congress Report 2
Language
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Undetermined 5 English 1
Author
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Bartlett, P. L. 2 Andrade, Francisco 1 Baxter, J. 1 Boucheron, S. 1 Boyd, Colin A. 1 Carneiro, Davide 1 Christen, Peter 1 Fensel, Dieter 1 Furuhata, Masabumi 1 Geva, Shlomo 1 Ismail, Roslan 1 Josang, Audun 1 Kennedy, Paul 1 Li, Jiuyong 1 Lugosi, G. 1 Neves, Jose 1 Novais, Paulo 1 Perrussel, Laurent 1 Robertson, Calum S. 1 Sakurai, Seechiro 1 Simoff, Simeon 1 Werthner, Hannes 1 Williams, Graham 1 Wolff, Rodney C. 1 Zeleznikow, John 1 Zhang, Dongmo 1
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Institution
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International Conference on Electronic Commerce 10th 18-22 Aug. 2008 Innsbruck, Austria 1 Universite? de Toulouse 1 University of Western Sydney 1
Source
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BASE 6
Showing 1 - 6 of 6
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Using BATNAs and WATNAs in Online Dispute Resolution
Andrade, Francisco; Novais, Paulo; Carneiro, Davide; … - 2009
When contracting through software agents, disputes will inevitably arise. Thus there is an urgent need to find alternatives to litigation for resolving conflicts. Methods of Online Dispute Resolution (ODR) need to be considered to resolve such disputes. Having agents understanding what the...
Persistent link: https://www.econbiz.de/10009478030
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Mechanism design for capacity allocation with price competition
Furuhata, Masabumi; Perrussel, Laurent; Zhang, Dongmo; … - University of Western Sydney; Universite? de Toulouse; … - 2008
Studies on mechanism design mostly focus on a single market where sellers and buyers trade. This paper examines the problem of mechanism design for capacity allocation in two connected markets where a supplier allocates products to a set of retailers and the retailers resale the products to...
Persistent link: https://www.econbiz.de/10009482102
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A survey of trust and reputation systems for online service provision
Josang, Audun; Ismail, Roslan; Boyd, Colin A. - 2007
Trust and reputation systems represent a significant trend in decision support for Internet mediated service provision. The basic idea is to let parties rate each other, for example after the completion of a transaction, and use the aggregated ratings about a given party to derive a trust or...
Persistent link: https://www.econbiz.de/10009483535
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What Types of Events Provide the Strongest Evidence that the Stock Market is Affected by Company Specific News?
Robertson, Calum S.; Geva, Shlomo; Wolff, Rodney C. - 2006
The efficient market hypothesis states that an efficient market immediately incorporates all available information into the price of the traded entity. It is well established that the stock market is not an efficient market as it consists of numerous traders with differing strategies and...
Persistent link: https://www.econbiz.de/10009437733
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Model selection and error estimation
Bartlett, P. L.; Boucheron, S.; Lugosi, G. - 2002
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalization: any good error estimate may be converted into a data-based penalty function and the performance of the estimate...
Persistent link: https://www.econbiz.de/10009438376
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Infinite-horizon policy-gradient estimation
Baxter, J.; Bartlett, P. L. - 2001
Gradient-based approaches to direct policy search in reinforcement learning have received much recent attention as a means to solve problems of partial observability and to avoid some of the problems associated with policy degradation in value-function methods. In this paper we introduce GPOMDP,...
Persistent link: https://www.econbiz.de/10009438377
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