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» Perceptual Learning and Abstraction in Machine Learning
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SIGCSE
2004
ACM
140views Education» more  SIGCSE 2004»
15 years 3 months ago
CS1 assessment using memory diagrams
Understanding the execution of an object-oriented program can be a challenge for a student starting a CS1 course. We believe that a type of diagram that we call a memory diagram c...
Mark A. Holliday, David Luginbuhl
CSCLP
2004
Springer
15 years 3 months ago
A Note on Bilattices and Open Constraint Programming
Abstract. We propose to use bilattice as a constraint valuation structure in order to represent truth and belief at the same time. A bilattice is a set which owns two lattices orde...
Arnaud Lallouet
MLMI
2004
Springer
15 years 3 months ago
Multistream Dynamic Bayesian Network for Meeting Segmentation
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose e...
Alfred Dielmann, Steve Renals
ICAIL
2003
ACM
15 years 2 months ago
Predicting Outcomes of Case-Based Legal Arguments
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...
Stefanie Brüninghaus, Kevin D. Ashley
ESSMAC
2003
Springer
15 years 2 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith