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» Information Theory, Inference, and Learning Algorithms
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NIPS
2008
13 years 9 months ago
Human Active Learning
We investigate a topic at the interface of machine learning and cognitive science. Human active learning, where learners can actively query the world for information, is contraste...
Rui M. Castro, Charles Kalish, Robert Nowak, Ruich...
CSE
2009
IEEE
13 years 11 months ago
Extended Dempster-Shafer Theory in Context Reasoning for Ubiquitous Computing Environments
—Context, the pieces of information that capture the characteristics of ubiquitous computing environment, is often imprecise and incomplete due to user mobility, unreliable wirel...
Daqiang Zhang, Jiannong Cao, Jingyu Zhou, Minyi Gu...
WOLLIC
2009
Springer
14 years 2 months ago
On-the-Fly Macros
Abstract. We present a domain-independent algorithm for planning that computes macros in a novel way. Our algorithm computes macros “on-the-fly” for a given set of states and ...
Hubie Chen, Omer Giménez
BMCBI
2007
153views more  BMCBI 2007»
13 years 8 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
GRC
2010
IEEE
13 years 9 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi