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16 years 10 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
CCS
2009
ACM
15 years 6 months ago
Battle of Botcraft: fighting bots in online games with human observational proofs
The abuse of online games by automated programs, known as game bots, for gaining unfair advantages has plagued millions of participating players with escalating severity in recent...
Steven Gianvecchio, Zhenyu Wu, Mengjun Xie, Hainin...
CONNECTION
2006
172views more  CONNECTION 2006»
14 years 11 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
OIR
2011
401views Neural Networks» more  OIR 2011»
14 years 2 months ago
Using Online Collaborative Tools for Groups to Co-Construct Knowledge
(limit 250 words) Purpose This paper reports and describes the use of MediaWiki and Google Docs at undergraduate level as online collaboration tools for co-constructing knowledge i...
Sam Kai Wah Chu, David M. Kennedy
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 5 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...