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AAMAS
2005
Springer
13 years 9 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
CIMCA
2008
IEEE
14 years 4 months ago
Deploying Neural-Network-Based Models for Dynamic Pricing in Supply Chain Management
With the advent of e-Commerce, enterprises can no longer rely on static business strategies. They have to be able to cope in dynamic and uncertain electronic environments, especia...
Yevgeniya Kovalchuk, Maria Fasli
AAAI
2007
14 years 6 days ago
Modeling Reciprocal Behavior in Human Bilateral Negotiation
Reciprocity is a key determinant of human behavior and has been well documented in the psychological and behavioral economics literature. This paper shows that reciprocity has sig...
Ya'akov Gal, Avi Pfeffer
IDEAL
2005
Springer
14 years 3 months ago
Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins
Prediction of peroxisomal matrix proteins generally depends on the presence of one of two distinct motifs at the end of the amino acid sequence. PTS1 peroxisomal proteins have a we...
Mark Wakabayashi, John Hawkins, Stefan Maetschke, ...
SIGCOMM
1996
ACM
14 years 2 months ago
On the Relevance of Long-Range Dependence in Network Traffic
There is much experimental evidence that network traffic processes exhibit ubiquitous properties of self-similarity and long-range dependence, i.e., of correlations over a wide ran...
Matthias Grossglauser, Jean-Chrysostome Bolot