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» Context Modeling: Task Model and Practice Model
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KI
2007
Springer
15 years 10 months ago
Extending Markov Logic to Model Probability Distributions in Relational Domains
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...
Dominik Jain, Bernhard Kirchlechner, Michael Beetz
CSCL
2006
109views more  CSCL 2006»
15 years 3 months ago
Supporting synchronous collaborative learning: A generic, multi-dimensional model
Future CSCL technologies are described by the community as flexible, tailorable, negotiable, and appropriate for various collaborative settings, conditions and contexts. This paper...
Jacques Lonchamp
COLT
2005
Springer
15 years 9 months ago
A PAC-Style Model for Learning from Labeled and Unlabeled Data
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
Maria-Florina Balcan, Avrim Blum
IDA
2003
Springer
15 years 9 months ago
Regularization Methods for Additive Models
This paper tackles the problem of model complexity in the context of additive models. Several methods have been proposed to estimate smoothing parameters, as well as to perform var...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
HICSS
2006
IEEE
125views Biometrics» more  HICSS 2006»
15 years 10 months ago
The Role of Collective Mental Models in IOS Adoption: Opening the Black Box of Rationality in RFID Deployment
ABSTRACT. Risks associated with change in technology standards and uncertainty over the sharing of costs and benefits among trading partners impede interorganizational information ...
Frederick J. Riggins, Kelly T. Slaughter