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ICML
2004
IEEE
15 years 10 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
IJNSEC
2006
77views more  IJNSEC 2006»
14 years 10 months ago
Towards a Secure Copyright Protection Infrastructure for e-Education Material: Principles Learned from Experience
Copyright of e-Education material is valuable. The need for protecting it is prominent. In the past two years, we have developed an infrastructure called e-Course eXchange (eCX ) ...
Joe Cho-Ki Yau, Lucas Chi Kwong Hui, Siu-Ming Yiu,...
INTERSPEECH
2010
14 years 4 months ago
Learning from human errors: prediction of phoneme confusions based on modified ASR training
In an attempt to improve models of human perception, the recognition of phonemes in nonsense utterances was predicted with automatic speech recognition (ASR) in order to analyze i...
Bernd T. Meyer, Birger Kollmeier
FLAIRS
2006
14 years 11 months ago
Analysis of Galactic Spectra using Noise-Aware Learning Algorithms
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
H. Jair Escalante, Olac Fuentes
COLT
1998
Springer
15 years 2 months ago
Self Bounding Learning Algorithms
Most of the work which attempts to give bounds on the generalization error of the hypothesis generated by a learning algorithm is based on methods from the theory of uniform conve...
Yoav Freund