Sciweavers

6506 search results - page 725 / 1302
» Algorithmic models for sensor networks
Sort
View
IJAR
2006
89views more  IJAR 2006»
15 years 7 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
15 years 11 months ago
A dynamic approach to artificial immune systems utilizing neural networks
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
Stefan Schadwinkel, Werner Dilger
243
Voted
JMLR
2010
140views more  JMLR 2010»
15 years 2 months ago
Learning Non-Stationary Dynamic Bayesian Networks
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Joshua W. Robinson, Alexander J. Hartemink
201
Voted
COMPSAC
2010
IEEE
15 years 5 months ago
Design and Implementation of a Middleware for Development and Provision of Stream-Based Services
This paper proposes MISSA, a novel middleware to facilitate the development and provision of stream-based services in emerging pervasive environments. The streambased services util...
Seungwoo Kang, Youngki Lee, Sunghwan Ihm, Souneil ...
ICASSP
2011
IEEE
14 years 11 months ago
Graphical models for localization of the seizure focus from interictal intracranial EEG
Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered fro...
Justin Dauwels, Emad N. Eskandar, Andy Cole, Dan H...