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» Machine reasoning about anomalous sensor data
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TMC
2012
12 years 12 months ago
Fast Data Collection in Tree-Based Wireless Sensor Networks
—We investigate the following fundamental question—how fast can information be collected from a wireless sensor network organized as tree? To address this, we explore and evalu...
Özlem Durmaz Incel, Amitabha Ghosh, Bhaskar K...
ATAL
2007
Springer
15 years 3 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
IJIIDS
2008
201views more  IJIIDS 2008»
14 years 9 months ago
MALEF: Framework for distributed machine learning and data mining
: Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. Several agent-based application have been already c...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek, S...
AAAI
2008
14 years 12 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
COGSCI
2004
120views more  COGSCI 2004»
14 years 9 months ago
Children's causal inferences from indirect evidence: Backwards blocking and Bayesian reasoning in preschoolers
Previous research suggests that children can infer causal relations from patterns of events. However, what appear to be cases of causal inference may simply reduce to children rec...
David M. Sobel, Joshua B. Tenenbaum, Alison Gopnik