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» Using iterated reasoning to predict opponent strategies
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VEE
2009
ACM
171views Virtualization» more  VEE 2009»
14 years 2 months ago
Dynamic memory balancing for virtual machines
Virtualization essentially enables multiple operating systems and applications to run on one physical computer by multiplexing hardware resources. A key motivation for applying vi...
Weiming Zhao, Zhenlin Wang
ICIA
2007
13 years 10 months ago
Learning Interaction between Conflicting Human Agents and Their Assistants
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...
Boris Galitsky, Boris Kovalerchuk
ATAL
2006
Springer
13 years 9 months ago
Mertacor: a successful autonomous trading agent
In this paper we present the internal architecture and bidding mechanisms designed for Mertacor, a successful trading agent, which ended up first in the Classic Trading Agent Comp...
Panos Toulis, Dionisis Kehagias, Pericles A. Mitka...
ICCV
2005
IEEE
14 years 9 months ago
Towards Ultimate Motion Estimation: Combining Highest Accuracy with Real-Time Performance
Although variational methods are among the most accurate techniques for estimating the optical flow, they have not yet entered the field of real-time vision. Main reason is the gr...
Andrés Bruhn, Joachim Weickert
CRV
2005
IEEE
198views Robotics» more  CRV 2005»
14 years 1 months ago
Analysis of Player Actions in Selected Hockey Game Situations
We present a proof of concept system to represent and reason about hockey play. The system takes as input player motion trajectory data tracked from game video and supported by kn...
Fahong Li, Robert J. Woodham