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PERCOM
2003
ACM
15 years 12 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
KDD
1995
ACM
182views Data Mining» more  KDD 1995»
15 years 10 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
BIOSYSTEMS
2007
111views more  BIOSYSTEMS 2007»
15 years 6 months ago
A Markovian approach to the control of genetic regulatory networks
This paper presents an approach for controlling gene networks based on a Markov chain model, where the state of a gene network is represented as a probability distribution, while ...
Peter C. Y. Chen, Jeremy W. Chen
NN
2006
Springer
15 years 6 months ago
Missing data imputation through GTM as a mixture of t-distributions
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...
Alfredo Vellido
ACL
2009
15 years 4 months ago
Parsing Speech Repair without Specialized Grammar Symbols
This paper describes a parsing model for speech with repairs that makes a clear separation between linguistically meaningful symbols in the grammar and operations specific to spee...
Tim Miller, Luan Nguyen, William Schuler