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TNN
2010
176views Management» more  TNN 2010»
14 years 8 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
114
Voted
SIGECOM
2010
ACM
173views ECommerce» more  SIGECOM 2010»
15 years 2 months ago
Approximating pure nash equilibrium in cut, party affiliation, and satisfiability games
Cut games and party affiliation games are well-known classes of potential games. Schaffer and Yannakakis showed that computing pure Nash equilibrium in these games is PLScomplete....
Anand Bhalgat, Tanmoy Chakraborty, Sanjeev Khanna
106
Voted
CHI
2005
ACM
16 years 2 months ago
Life on the edge: supporting collaboration in location-based experiences
We study a collaborative location-based game in which groups of `lions' hunt together on a virtual savannah that is overlaid on an open playing field. The game implements a s...
Steve Benford, Duncan Rowland, Martin Flintham, Ad...
CSB
2005
IEEE
206views Bioinformatics» more  CSB 2005»
15 years 7 months ago
Bioinformatic Insights from Metagenomics through Visualization
Cutting-edge biological and bioinformatics research seeks a systems perspective through the analysis of multiple types of high-throughput and other experimental data for the same ...
Susan L. Havre, Bobbie-Jo M. Webb-Robertson, Anuj ...
FPGA
2004
ACM
174views FPGA» more  FPGA 2004»
15 years 7 months ago
A compiled accelerator for biological cell signaling simulations
The simulation of large systems of biochemical reactions is a key part of research into molecular signaling and information processing in biological cells. However, it can be impr...
John F. Keane, Christopher Bradley, Carl Ebeling