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CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
WOB
2004
233views Bioinformatics» more  WOB 2004»
13 years 10 months ago
Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
George Barreto Bezerra, Geraldo M. A. Cança...
RTSS
1998
IEEE
14 years 1 months ago
Deadline-Modification-SCAN with Maximum-Scannable-Groups for Multimedia Real-Time Disk Scheduling
suitable disk layout and network transmission schedule to minimize allocated resources (buffer size, bandwidth, ..., etc.) with maximum resource utilization. In this paper, the rea...
Ray-I Chang, Wei Kuan Shih, Ruei-Chuan Chang
ICS
2007
Tsinghua U.
14 years 3 months ago
GridRod: a dynamic runtime scheduler for grid workflows
Grid Workflows are emerging as practical programming models for solving large e-scientific problems on the Grid. However, it is typically assumed that the workflow components eith...
Shahaan Ayyub, David Abramson
ICANNGA
2009
Springer
145views Algorithms» more  ICANNGA 2009»
14 years 3 months ago
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
Isaac Olusegun Osunmakinde, Antoine B. Bagula