Sciweavers

9886 search results - page 184 / 1978
» Learning Compressible Models
Sort
View
ICML
2007
IEEE
16 years 3 months ago
Three new graphical models for statistical language modelling
The supremacy of n-gram models in statistical language modelling has recently been challenged by parametric models that use distributed representations to counteract the difficult...
Andriy Mnih, Geoffrey E. Hinton
DSMML
2004
Springer
15 years 8 months ago
Can Gaussian Process Regression Be Made Robust Against Model Mismatch?
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
Peter Sollich
GECCO
2011
Springer
236views Optimization» more  GECCO 2011»
14 years 6 months ago
Online, GA based mixture of experts: a probabilistic model of ucs
In recent years there have been efforts to develop a probabilistic framework to explain the workings of a Learning Classifier System. This direction of research has met with lim...
Narayanan Unny Edakunni, Gavin Brown, Tim Kovacs
ICML
2008
IEEE
16 years 3 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
ICALT
2007
IEEE
15 years 9 months ago
In Search of Quality Learning Technologies for Online Distributed Classrooms
Recent developments in technology and access have offered the opportunity to improve online learning environments through increased communication, interactivity among participants...
Madhumita Bhattacharya, Jon Dron