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IJCAI
2007
13 years 6 months ago
A Game-Theoretic Analysis of Strictly Competitive Multiagent Scenarios
This paper is a comparative study of game-theoretic solution concepts in strictly competitive multiagent scenarios, as commonly encountered in the context of parlor games, competi...
Felix Brandt, Felix A. Fischer, Paul Harrenstein, ...
IJCAI
2007
13 years 6 months ago
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
Detecting and tracking latent factors from temporal data is an important task. Most existing algorithms for latent topic detection such as Nonnegative Matrix Factorization (NMF) h...
Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qia...
IJCAI
2007
13 years 6 months ago
Incompleteness and Incomparability in Preference Aggregation
We consider how to combine the preferences of multiple agents despite the presence of incompleteness and incomparability in their preference orderings. An agent’s preference orde...
Maria Silvia Pini, Francesca Rossi, Kristen Brent ...
IJCAI
2007
13 years 6 months ago
Incremental Learning of Perceptual Categories for Open-Domain Sketch Recognition
Most existing sketch understanding systems require a closed domain to achieve recognition. This paper describes an incremental learning technique for opendomain recognition. Our s...
Andrew M. Lovett, Morteza Dehghani, Kenneth D. For...
IJCAI
2007
13 years 6 months ago
Locality Sensitive Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun ...
IJCAI
2007
13 years 6 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
IJCAI
2007
13 years 6 months ago
Emergence of Norms through Social Learning
Behavioral norms are key ingredients that allow agent coordination where societal laws do not sufficiently constrain agent behaviors. Whereas social laws need to be enforced in a...
Sandip Sen, Stéphane Airiau
IJCAI
2007
13 years 6 months ago
Color Learning on a Mobile Robot: Towards Full Autonomy under Changing Illumination
A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. It is commonly asserted that in order to ...
Mohan Sridharan, Peter Stone
IJCAI
2007
13 years 6 months ago
Forward Search Value Iteration for POMDPs
Recent scaling up of POMDP solvers towards realistic applications is largely due to point-based methods which quickly converge to an approximate solution for medium-sized problems...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony