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NIPS
2001
15 years 6 months ago
A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing
Narayanan and Jurafsky (1998) proposed that human language comprehension can be modeled by treating human comprehenders as Bayesian reasoners, and modeling the comprehension proce...
S. Narayanan, Daniel Jurafsky
DMSN
2007
ACM
15 years 8 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
IS
2007
15 years 4 months ago
Improving process models by discovering decision points
Workflow management systems (WfMS) are widely used by business enterprises as tools for administrating, automating and scheduling the business process activities with the availab...
Sharmila Subramaniam, Vana Kalogeraki, Dimitrios G...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 11 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
ADVIS
2004
Springer
15 years 10 months ago
On the Application of WF-Nets for Checking Hybrid IDEF0-IDEF3 Business Process Models
Abstract. In many practical business process modelling scenarios using Petri nets, the resultant model does not have a single input place and a single output place. In particular, ...
Costin Badica, Chris Fox