Sciweavers

367 search results - page 9 / 74
» Robust Induction of Process Models from Time-Series Data
Sort
View
ARTMED
2006
108views more  ARTMED 2006»
13 years 7 months ago
Constructing explanatory process models from biological data and knowledge
We address the task of inducing explanatory models from observations and knowledge about candidate biological processes, using the illustrative problem of modeling photosynthesis ...
Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Tod...
ESANN
2007
13 years 8 months ago
Causality analysis of LFPs in micro-electrode arrays based on mutual information
Since perceptual and motor processes in the brain are the result of interactions between neurons, layers and areas, a lot of attention has been directed towards the development of...
Nikolay V. Manyakov, Marc M. Van Hulle
ML
2008
ACM
13 years 7 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
ICML
2008
IEEE
14 years 8 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
DMSN
2007
ACM
13 years 11 months ago
Declarative temporal data models for sensor-driven query processing
Many sensor network applications monitor continuous phenomena by sampling, and fit time-varying models that capture the phenomena's behaviors. We introduce Pulse, a framework...
Yanif Ahmad, Ugur Çetintemel