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» Semi-supervised learning on large complex simulations
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COMPLEXITY
2008
84views more  COMPLEXITY 2008»
13 years 6 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller
KBSE
2002
IEEE
13 years 11 months ago
An Approach to Rapid Prototyping of Large Multi-Agent Systems
Engineering individual components of a multi-agent system and their interactions is a complex and error-prone task in urgent need of methods and tools. Prototyping is a valuable t...
Wamberto Weber Vasconcelos, Carles Sierra, Marc Es...
ML
2002
ACM
143views Machine Learning» more  ML 2002»
13 years 6 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
ISPASS
2007
IEEE
14 years 19 days ago
Accelerating Full-System Simulation through Characterizing and Predicting Operating System Performance
The ongoing trend of increasing computer hardware and software complexity has resulted in the increase in complexity and overheads of cycle-accurate processor system simulation, e...
Seongbeom Kim, Fang Liu, Yan Solihin, Ravi R. Iyer...
CORR
2004
Springer
114views Education» more  CORR 2004»
13 years 6 months ago
Quantum Communication Cannot Simulate a Public Coin
We study the simultaneous message passing model of communication complexity. Building on the quantum fingerprinting protocol of Buhrman et al., Yao recently showed that a large cl...
Dmitry Gavinsky, Julia Kempe, Ronald de Wolf