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KDD
2009
ACM
215views Data Mining» more  KDD 2009»
14 years 7 months ago
Large-scale sparse logistic regression
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
Jun Liu, Jianhui Chen, Jieping Ye
ICASSP
2007
IEEE
14 years 1 months ago
False Positive Reduction in Lung GGO Nodule Detection with 3D Volume Shape Descriptor
Lung nodule detection, especially ground glass opacity (GGO) detection, in helical computed tomography (CT) images is a challenging Computer-Aided Detection (CAD) task due to the ...
Ming Yang, Senthil Periaswamy, Ying Wu
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 6 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
JMLR
2010
148views more  JMLR 2010»
13 years 1 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
CISS
2007
IEEE
13 years 10 months ago
Channel-Adaptive Optimal OFDMA Scheduling
Abstract-Joint subcarrier, power and rate allocation in orthogonal frequency division multiple access (OFDMA) scheduling is investigated for both downlink and uplink wireless trans...
Xin Wang, Georgios B. Giannakis, Yingqun Yu