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» A Model of Plausibility
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NEUROSCIENCE
2001
Springer
13 years 9 months ago
Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
Mikel L. Forcada, Rafael C. Carrasco
EDM
2009
147views Data Mining» more  EDM 2009»
13 years 3 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
WAPCV
2004
Springer
13 years 10 months ago
Towards a Biologically Plausible Active Visual Search Model
Abstract. This paper proposes a neuronal-based solution to active visual search, that is, visual search for a given target in displays that are too large in spatial extent to be in...
Andrei Zaharescu, Albert L. Rothenstein, John K. T...
ATAL
2004
Springer
13 years 10 months ago
Towards Supporting Psychologically Plausible Variability in Agent-Based Human Modelling
We describe the initial steps in developing an agentbased cognitive architecture designed to support psychologically plausible human variability. The new architecture, COJACK, is ...
Emma Norling, Frank E. Ritter
EDM
2010
113views Data Mining» more  EDM 2010»
13 years 6 months ago
Using multiple Dirichlet distributions to improve parameter plausibility
Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
Yue Gong, Joseph E. Beck, Neil T. Heffernan