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» Functions as Session-Typed Processes
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ICML
2009
IEEE
14 years 9 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 7 months ago
Modeling and decision making in spatio-temporal processes for environmental surveillance
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...
JMLR
2010
129views more  JMLR 2010»
13 years 3 months ago
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
Mauricio Alvarez, David Luengo, Michalis Titsias, ...
ICONIP
2008
13 years 10 months ago
Neural Network Regression for LHF Process Optimization
We present a system for regression using MLP neural networks with hyperbolic tangent functions in the input, hidden and output layer. The activation functions in the input and outp...
Miroslaw Kordos
PODC
1989
ACM
14 years 1 months ago
Equational Reasoning About Nondeterministic Processes
A deterministic message-communicating process can be characterized by a “continuous” function f which describes the relationship between the inputs and the outputs of the proc...
Jayadev Misra