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» A Theory for Memory-Based Learning
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AAAI
2006
15 years 6 months ago
Representing Systems with Hidden State
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
Christopher Hundt, Prakash Panangaden, Joelle Pine...
135
Voted
IRMA
2000
15 years 6 months ago
Bridging the gap between hard and soft information genres
The genre theory has been earlier introduced as a means for analyzing organizational communication. The terms hard and soft information genre have been employed to refer to the ex...
Anne Karjalainen, Airi Salminen
137
Voted
TOPNOC
2008
15 years 5 months ago
Constructive Alignment for Teaching Model-Based Design for Concurrency
"How can we make sure our students learn what we want them to?" is the number one question in teaching. This paper is intended to provide the reader with: i) a general a...
Claus Brabrand
SAC
2009
ACM
15 years 12 months ago
Evaluating algorithms that learn from data streams
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
João Gama, Pedro Pereira Rodrigues, Raquel ...
RSKT
2009
Springer
15 years 11 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao