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TNN
2010
176views Management» more  TNN 2010»
15 years 1 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
ICML
2005
IEEE
16 years 7 months ago
Hedged learning: regret-minimization with learning experts
In non-cooperative multi-agent situations, there cannot exist a globally optimal, yet opponent-independent learning algorithm. Regret-minimization over a set of strategies optimiz...
Yu-Han Chang, Leslie Pack Kaelbling
ICALT
2005
IEEE
16 years 6 days ago
Collaborative Learning for an Online Higher Education Course: A Case Study
Collaborative learning, which a large number of scholars have been experimenting with since Dewey wrote about it in 1924, has known a new interest with the spreading of the Intern...
Patrizia Ghislandi, Remo Job
ICALT
2005
IEEE
16 years 6 days ago
Application of Instant Message System in Cooperative Learning
The popularity of instant messaging (IM) system creates a new way for human communication. Along with this trend, IM system is broadly applied in cooperative learning. There isnâ€...
Shih-chen Hsieh, Yu-chen Hsu
VLSID
2005
IEEE
105views VLSI» more  VLSID 2005»
16 years 5 days ago
Placement and Routing for 3D-FPGAs Using Reinforcement Learning and Support Vector Machines
The primary advantage of using 3D-FPGA over 2D-FPGA is that the vertical stacking of active layers reduce the Manhattan distance between the components in 3D-FPGA than when placed...
R. Manimegalai, E. Siva Soumya, V. Muralidharan, B...