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AAAI
2008
15 years 9 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
AAAI
2007
15 years 9 months ago
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
David Minnen, Charles Lee Isbell Jr., Irfan A. Ess...
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AIPS
2007
15 years 9 months ago
An Innovative Product for Space Mission Planning: An A Posteriori Evaluation
This paper describes MEXAR2, a software tool that is currently used to synthesize the operational commands for data downlink from the on-board memory of an interplanetary space mi...
Amedeo Cesta, Gabriella Cortellessa, Simone Fratin...
FAST
2008
15 years 9 months ago
Measurement and Analysis of TCP Throughput Collapse in Cluster-based Storage Systems
Cluster-based and iSCSI-based storage systems rely on standard TCP/IP-over-Ethernet for client access to data. Unfortunately, when data is striped over multiple networked storage ...
Amar Phanishayee, Elie Krevat, Vijay Vasudevan, Da...
WSC
2007
15 years 9 months ago
Hierarchical planning and multi-level scheduling for simulation-based probabilistic risk assessment
Simulation of dynamic complex systems—specifically, those comprised of large numbers of components with stochastic behaviors—for the purpose of probabilistic risk assessment f...
Hamed Nejad, Dongfeng Zhu, Ali Mosleh