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INTERSPEECH
2010
14 years 11 months ago
Improved neural network based language modelling and adaptation
Neural network language models (NNLM) have become an increasingly popular choice for large vocabulary continuous speech recognition (LVCSR) tasks, due to their inherent generalisa...
Junho Park, Xunying Liu, Mark J. F. Gales, Philip ...
WMCSA
2000
IEEE
15 years 8 months ago
Adapting to mobile contexts with user-interface modeling
Mobile computing offers the possibility of dramatically expanding the versatility of computers, by bringing them off the desktop and into new and unique contexts. However, this ne...
Jacob Eisenstein, Jean Vanderdonckt, Angel R. Puer...
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 4 months ago
Optimization and AMS Modeling for Design of an Electrostatic Vibration Energy Harvester's Conditioning Circuit with an Auto-Adap
This paper presents an analysis and system-level design of a capacitive harvester of vibration energy composed from a mechanical resonator, capacitive transducer and a conditioning...
Dimitri Galayko, Philippe Basset, Ayyaz Mahmood Pa...
ICML
2010
IEEE
15 years 2 months ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
ICIP
1999
IEEE
15 years 8 months ago
Forward Adaptive Modeling for Context-Based Compression of Large Binary Images in Applications Requiring Spatial Access
A method for compression of large binary images is proposed for applications where spatial access to the image is required. The proposed method is a two-stage combination of forwa...
Eugene I. Ageenko, Pasi Fränti