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ICML
2004
IEEE
15 years 10 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Michael R. James, Satinder P. Singh
ICALT
2010
IEEE
14 years 7 months ago
A New Approach Based on Modelled Traces to Compute Collaborative and Individual Indicators Human Interaction
We propose in this paper a new method to compute indicators based on models transformations. We use the concept of modeled trace and trace-based system to design an indicator. We u...
Tarek Djouad, Alain Mille, Christophe Reffay, Moha...
51
Voted
KI
2008
Springer
14 years 9 months ago
A Drum Machine That Learns to Groove
Music production relies increasingly on advanced hardware and software tools that makes the creative process more flexible and versatile. The advancement of these tools helps reduc...
Axel Tidemann, Yiannis Demiris
ACL
2007
14 years 11 months ago
A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation
Recent studies suggest that machine learning can be applied to develop good automatic evaluation metrics for machine translated sentences. This paper further analyzes aspects of l...
Joshua Albrecht, Rebecca Hwa
46
Voted
AAAI
2007
15 years 19 hour ago
Knowledge-Driven Learning and Discovery
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
Benjamin Lambert, Scott E. Fahlman