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ICPR
2008
IEEE
14 years 2 months ago
A supervised learning approach for imbalanced data sets
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
Giang Hoang Nguyen, Abdesselam Bouzerdoum, Son Lam...
ITNG
2010
IEEE
14 years 23 days 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
ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
14 years 2 days 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...
SBCCI
2005
ACM
123views VLSI» more  SBCCI 2005»
14 years 1 months ago
Fault tolerance overhead in network-on-chip flow control schemes
Flow control mechanisms in Network-on-Chip (NoC) architectures are critical for fast packet propagation across the network and for low idling of network resources. Buffer manageme...
Antonio Pullini, Federico Angiolini, Davide Bertoz...
NPL
2000
105views more  NPL 2000»
13 years 7 months ago
Online Interactive Neuro-evolution
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikk...