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ICASSP
2010
IEEE
15 years 5 months ago
Approaches to automatic lexicon learning with limited training examples
Preparation of a lexicon for speech recognition systems can be a significant effort in languages where the written form is not exactly phonetic. On the other hand, in languages w...
Nagendra Goel, Samuel Thomas, Mohit Agarwal, Pinar...
123
Voted
AAI
2008
93views more  AAI 2008»
15 years 5 months ago
Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
CLEIEJ
2008
82views more  CLEIEJ 2008»
15 years 5 months ago
Postal Envelope Segmentation using Learning-Based Approach
This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
Horacio Andrés Legal-Ayala, Jacques Facon, ...
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 5 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
147
Voted
IDA
2007
Springer
15 years 5 months ago
An evaluation of Naive Bayes variants in content-based learning for spam filtering
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set of seven mailboxes comprising about 65,000 mails f...
Alexander K. Seewald