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» Kernel methods for learning languages
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JMLR
2012
11 years 11 months ago
Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets
We propose a new method for comparing learning algorithms on multiple tasks which is based on a novel non-parametric test that we call the Poisson binomial test. The key aspect of...
Alexandre Lacoste, François Laviolette, Mar...
IJCNLP
2005
Springer
14 years 2 months ago
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...
Daisuke Okanohara, Jun-ichi Tsujii
IFIP
2000
Springer
14 years 17 days ago
PETSc and Overture: Lessons Learned Developing an Interface between Components
We consider two software packages that interact with each other as components: Overture and PETSc. An interface between these two packages could be of tremendous value to applicati...
Kristopher R. Buschelman, William Gropp, Lois C. M...
EMNLP
2009
13 years 6 months ago
Multi-Class Confidence Weighted Algorithms
The recently introduced online confidence-weighted (CW) learning algorithm for binary classification performs well on many binary NLP tasks. However, for multi-class problems CW l...
Koby Crammer, Mark Dredze, Alex Kulesza
ICML
2006
IEEE
14 years 3 months ago
Multiclass reduced-set support vector machines
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...
Benyang Tang, Dominic Mazzoni