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BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
15 years 2 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar
JMLR
2011
145views more  JMLR 2011»
15 years 3 days ago
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Func
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
Jim C. Huang, Brendan J. Frey
AAAI
2007
15 years 7 months ago
A Multi-Dimensional Trust Model for Heterogeneous Contract Observations
In this paper we develop a novel probabilistic model of computational trust that allows agents to exchange and combine reputation reports over heterogeneous, correlated multi-dime...
Steven Reece, Stephen Roberts, Alex Rogers, Nichol...
IJON
2006
90views more  IJON 2006»
15 years 5 months ago
Reinforcement learning of a simple control task using the spike response model
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
Murilo Saraiva de Queiroz, Roberto Coelho de Berr&...
TIP
2008
165views more  TIP 2008»
15 years 5 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...