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ITNG
2010
IEEE
15 years 9 months ago
A Forecasting Capability Study of Empirical Mode Decomposition for the Arrival Time of a Parallel Batch System
This paper demonstrates the feasibility and potential of applying empirical mode decomposition (EMD) to forecast the arrival time behaviors in a parallel batch system. An analysis...
Linh Ngo, Amy W. Apon, Doug Hoffman
ECAL
2001
Springer
15 years 8 months ago
Evolution of Reinforcement Learning in Uncertain Environments: Emergence of Risk-Aversion and Matching
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
Yael Niv, Daphna Joel, Isaac Meilijson, Eytan Rupp...
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
15 years 8 months ago
Non-linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
132
Voted
EOR
2006
88views more  EOR 2006»
15 years 4 months ago
Nonessential objectives within network approaches for MCDM
In Gal and Hanne [Eur. J. Oper. Res. 119 (1999) 373] the problem of using several methods to solve a multiple criteria decision making (MCDM) problem with linear objective functio...
Tomas Gal, Thomas Hanne
ICSE
2000
IEEE-ACM
15 years 7 months ago
Software engineering for security: a roadmap
Is there such a thing anymore as a software system that doesn't need to be secure? Almost every softwarecontrolled system faces threats from potential adversaries, from Inter...
Premkumar T. Devanbu, Stuart G. Stubblebine