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NECO
2007
150views more  NECO 2007»
15 years 8 days ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
92
Voted
IJCNN
2007
IEEE
15 years 7 months ago
Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic
–The performability of disk arrays systems has been studied before. However, in the case of imprecise data, a fuzzy model can be the base for the performability analysis. This pa...
Guillermo Navarro, Milos Manic
119
Voted
ESANN
2004
15 years 2 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
113
Voted
BMCBI
2010
135views more  BMCBI 2010»
15 years 27 days ago
Delineation of amplification, hybridization and location effects in microarray data yields better-quality normalization
Background: Oligonucleotide arrays have become one of the most widely used high-throughput tools in biology. Due to their sensitivity to experimental conditions, normalization is ...
Marc Hulsman, Anouk Mentink, Eugene P. van Someren...
117
Voted
WIMOB
2007
IEEE
15 years 7 months ago
Performance Analysis of Ranging Process in IEEE 802.16e OFDMA Systems
In this paper, ranging process in IEEE 802.16e OFDMA systems is analyzed and performance is evaluated. Ranging process provides initial network entry, uplink synchronization, and ...
Doo Hwan Lee, Hiroyuki Morikawa