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ATAL
2007
Springer
15 years 6 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
103
Voted
BMCBI
2007
179views more  BMCBI 2007»
15 years 21 days ago
Gene selection with multiple ordering criteria
Background: A microarray study may select different differentially expressed gene sets because of different selection criteria. For example, the fold-change and p-value are two co...
James J. Chen, Chen-An Tsai, ShengLi Tzeng, Chun-H...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 4 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
114
Voted
EUROSSC
2007
Springer
15 years 6 months ago
Sensing Motion Using Spectral and Spatial Analysis of WLAN RSSI
In this paper we present how motion sensing can be obtained just by observing the WLAN radio signal strength and its fluctuations. The temporal, spectral and spatial characteristi...
Kavitha Muthukrishnan, Maria Eva Lijding, Nirvana ...
PAMI
2006
186views more  PAMI 2006»
15 years 15 days ago
Performance Evaluation of Fingerprint Verification Systems
This paper is concerned with the performance evaluation of fingerprint verification systems. After an initial classification of biometric testing initiatives, we explore both the t...
Raffaele Cappelli, Dario Maio, Davide Maltoni, Jam...