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» Language model adaptation using Random Forests
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TKDE
2008
123views more  TKDE 2008»
14 years 9 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
INTERSPEECH
2010
14 years 4 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
CEAS
2006
Springer
15 years 1 months ago
An Adaptive, Semi-Structured Language Model Approach to Spam Filtering on a New Corpus
Motivated by current efforts to construct more realistic spam filtering experimental corpora, we present a newly assembled, publicly available corpus of genuine and unsolicited (s...
Ben Medlock
EUROPLOP
2006
14 years 11 months ago
Meta-Specification and Cataloging of Software Patterns with Domain Specific Languages and Adaptive Object Models
Writing patterns is a very important task for leveraging knowledge within an organization or in the software engineering community as a whole. Patterns are more than text, diagram...
León Welicki, Juan Manuel Cueva Lovelle, Lu...
TNN
2008
177views more  TNN 2008»
14 years 9 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal