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» Using model knowledge for learning inverse dynamics
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ICTAI
2007
IEEE
14 years 3 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
RTS
2006
115views more  RTS 2006»
13 years 8 months ago
Resource access control for dynamic priority distributed real-time systems
Many of today's complex computer applications are being modeled and constructed using the principles inherent to real-time distributed object systems. In response to this dem...
Chen Zhang, David Cordes
ATAL
2008
Springer
13 years 10 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
ICASSP
2011
IEEE
13 years 11 days ago
A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics
We present a semi-supervised source separation methodology to denoise speech by modeling speech as one source and noise as the other source. We model speech using the recently pro...
Gautham J. Mysore, Paris Smaragdis
BC
2000
95views more  BC 2000»
13 years 8 months ago
Cerebellar learning of accurate predictive control for fast-reaching movements
Long conduction delays in the nervous system prevent the accurate control of movements by feedback control alone. We present a new, biologically plausible cerebellar model to study...
Jacob Spoelstra, Nicolas Schweighofer, Michael A. ...