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IJCAI
2007
13 years 10 months ago
A Theoretical Framework for Learning Bayesian Networks with Parameter Inequality Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
NIPS
2008
13 years 10 months ago
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing
EEG connectivity measures could provide a new type of feature space for inferring a subject's intention in Brain-Computer Interfaces (BCIs). However, very little is known on ...
Moritz Grosse-Wentrup
MASCOTS
2007
13 years 10 months ago
Analysis of Core-Assisted Routing in Opportunistic Networks
Abstract— Opportunistic Networks (ONs) are a newly emerging type of Delay Tolerant Network (DTN) systems that opportunistically exploit unplanned contacts among nodes to share in...
Muhammad Abdulla, Robert Simon
NIPS
2007
13 years 10 months ago
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
A non–linear dynamic system is called contracting if initial conditions are forgotten exponentially fast, so that all trajectories converge to a single trajectory. We use contra...
Emre Neftci, Elisabetta Chicca, Giacomo Indiveri, ...
AAAI
2004
13 years 10 months ago
Spatial Aggregation for Qualitative Assessment of Scientific Computations
Qualitative assessment of scientific computations is an emerging application area that applies a data-driven approach to characterize, at a high level, phenomena including conditi...
Chris Bailey-Kellogg, Naren Ramakrishnan