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vlachmore learning [60 articles]

Recent papers added to vlachmore library classified by the tag learning. You can also see everyone's learning.
  • A Tutorial on Conformal Prediction
    Journal of Machine Learning Research, Vol. 9 (March 2008), pp. 371-421.
    by Glenn Shafer, Vladimir Vovk
  • Unsupervised Learning of Narrative Event Chains
    (2008)
    by Nathanael Chambers, Dan Jurafsky
    posted to unsupervised learning by vlachmore on 2008-05-07 13:14:12 as **
  • Semi-Supervised Learning
    (2006)
    edited by O Chapelle, B Schölkopf, A Zien
    posted to learning machine semi-supervised by vlachmore on 2008-04-21 17:04:15 as **
  • Information-Based Objective Functions for Active Data Selection
    Neural Computation, Vol. 4, No. 4. (1992), pp. 590-604.
    by D Mackay
    posted to active active_learning learning by vlachmore on 2008-01-25 17:06:47 as ****
  • Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach
    (2007), pp. 449-456.
    by Andreas Krause, Carlos Guestrin
  • Active Semi-Supervised Learning = Robust Multi-View Learning
    (2002), pp. 435-442.
    by Ion Muslea, Steven Minton, Craig A Knoblock
    posted to active active_learning learning semi-supervised by vlachmore on 2008-01-24 02:20:08 as **
  • A stopping criterion for active learning
    Computer Speech & Language, Vol. In Press, Uncorrected Proof
    by Andreas Vlachos
  • Learning to Order Things
    Vol. 10 (1998)
    by William W Cohen, Robert E Schapire, Yoram Singer
    edited by Michael I Jordan, Michael J Kearns, Sara A Solla
    posted to learning ranking by vlachmore on 2007-12-19 15:04:10 as **** along with 2 people pprett KevK
  • Active Learning with Multiple Views
    (2004)
    by Ion Muslea
    edited by John Wang
    posted to active active_learning co-testing learning multiple views by vlachmore on 2007-12-03 15:41:28 as **
  • Reinforcement learning with Gaussian processes
    (2005), pp. 201-208.
    by Yaakov Engel, Shie Mannor, Ron Meir
    posted to gaussian learning process reinforcement by vlachmore on 2007-11-23 15:57:12 as **
  • An analytic solution to discrete Bayesian reinforcement learning
    (2006), pp. 697-704.
    by Pascal Poupart, Nikos Vlassis, Jesse Hoey, Kevin Regan
    posted to bayesian learning reinforcement by vlachmore on 2007-11-23 15:56:05 as ** along with 1 person bsilverthorn
  • Partially labeled classification with Markov random walks
    Vol. 14 (2001)
    by Martin Szummer, Tommi Jaakkola
  • A Bayesian Framework for Reinforcement Learning
    (2000), pp. 943-950.
    by Malcolm Strens
  • Bayesian Policy Gradient
    (2006)
    by Mohammad Ghavamzdeh, Yaakov Engel
    posted to bayesian fisher kernels learning machines reinforcement by vlachmore on 2007-11-16 11:27:44 as **
  • Semi-supervised learning using Gaussian fields and harmonic functions
    (2003)
  • Combining active learning and semi-supervised learning using gaussian fields and harmonic functions
    (2003)
  • The rendezvous algorithm: multiclass semi-supervised learning with Markov random walks
    (2007), pp. 49-56.
    by Arik Azran
    posted to clustering learning markov random semi-supervised walks by vlachmore on 2007-10-26 14:40:37 as ****
  • Active Learning of Features and Labels
    (July 2005), pp. 43-50.
    by Balaji Krishnapuram, David Williams, Ya Xue, Lawrence Carin, Mario Figueiredo, Alexander Hartemink
    posted to active active_learning learning by vlachmore on 2007-10-24 14:35:28 as read
  • An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data
    pp. 486-495.
    by Katrin Tomanek, Joachim Wermter, Udo Hahn
  • Active Learning for Word Sense Disambiguation with Methods for Addressing the Class Imbalance Problem
    Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (June 2007)
    by Jingbo Zhu, Eduard Hovy
  • Active learning and logarithmic opinion pools for HPSG parse selection
    Natural Language Engineering, Vol. 13, No. 1. (2007), pp. 1-32.
    by Jason Baldridge, Miles Osborne
  • Domain Adaptation with Structural Correspondence Learning
    (July 2006), pp. 120-128.
    by John Blitzer, Ryan Mcdonald, Fernando Pereira
  • Active Annotation
    (2006)
    by Andreas Vlachos
  • Confidence-Based Active Learning
    IEEE Trans. Pattern Anal. Mach. Intell., Vol. 28, No. 8. (August 2006), pp. 1251-1261.
    by Mingkun Li
  • A high-performance semi-supervised learning method for text chunking
    (2005), pp. 1-9.
    by Rie K Ando, Tong Zhang
  • Investigating the Effects of Selective Sampling on the Annotation Task
    (June 2005), pp. 144-151.
    by Ben Hachey, Beatrice Alex, Markus Becker
  • A Two-Stage Method for Active Learning of Statistical Grammars
    (2005), pp. 991-996.
    by Markus Becker, Miles Osborne
    posted to active grammar learning active_learning by vlachmore on 2007-10-08 13:57:11 as read
  • Optimising Selective Sampling for Bootstrapping Named Entity Recognition
    (2005)
    by M Becker, B Hachey, B Alex, C Grover
  • Multi-criteria-based active learning for named entity recognition
    (2004)
    by Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew-Lim Tan
    posted to active clustering entity learning named ner recognition active_learning by vlachmore on 2007-10-08 13:46:00 as read
  • Active Learning and the Total Cost of Annotation
    (July 2004), pp. 9-16.
    posted to active cost hpsg learning parsing active_learning by vlachmore on 2007-10-08 13:43:10 as read
  • Ensemble-based Active Learning for Parse Selection
    (2004)
    by Miles Osborne, Jason Baldridge
    posted to active hpsg learning parsing active_learning by vlachmore on 2007-10-08 12:24:29 as read
  • Interactive Information Extraction with Constrained Conditional Random Fields
    pp. 412-418.
    by Trausti Kristjansson, Aron Culotta, Paul Viola, Andrew Mccallum
  • Confidence Estimation for Information Extraction
    (2004)
  • Online Choice of Active Learning Algorithms
    Journal of Machine Learning Research, Vol. 5 (2004), pp. 255-291.
    by Yoram Baram, Ran El-Yaniv, Kobi Luz
    posted to active learning active_learning by vlachmore on 2007-10-05 10:38:21 as read
  • A-Optimality for Active Learning of Logistic Regression Classifiers
    (2004)
    by A Schein, L Ungar
    posted to active learning logistic regression active_learning by vlachmore on 2007-10-04 19:06:11 as read
  • Active learning for HPSG parse selection
    (2003), pp. 17-24.
    by Jason Baldridge, Miles Osborne
    posted to active hpsg learning parse selection active_learning by vlachmore on 2007-10-04 19:01:08 as read
  • From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    (2002)
    by D Klein, S Kamvar, C Manning
  • Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
    (2001), pp. 282-289.
    by John Lafferty, Andrew Mccallum, Fernando Pereira
  • Active Hidden Markov Models for Information Extraction
    (2001), pp. 309-318.
    by Tobias Scheffer, Christian Decomain, Stefan Wrobel
    posted to active hmm learning active_learning by vlachmore on 2007-10-04 18:20:57 as read
  • Support Vector Machine Active Learning with Applications to Text Classification
    (2000), pp. 999-1006.
    by Simon Tong, Daphne Koller
    edited by Pat Langley
  • Query Learning with Large Margin Classifiers
    (2000), pp. 111-118.
    by Colin Campbell, Nello Cristianini, Alex J Smola
  • Support vector machine active learning with applications to text classification
    J. Mach. Learn. Res., Vol. 2 (2002), pp. 45-66.
    by Simon Tong, Daphne Koller
  • Less is More: Active Learning with Support Vector Machines
    (2000), pp. 839-846.
    by Greg Schohn, David Cohn
  • Selective Sampling with Redundant Views
    (2000), pp. 621-626.
    by Ion Muslea, Steven Minton, Craig A Knoblock
    posted to active learning active_learning by vlachmore on 2007-10-04 18:00:25 as **
  • Unsupervised models for named entity classification
    (1999)
    by M Collins, Y Singer
  • Committee-Based Sample Selection for Probabilistic Classifiers
    Journal of Artificial Intelligence Research, Vol. 11 (1999), pp. 335-360.
    by Shlomo A Engelson, Ido Dagan
  • Employing EM and Pool-Based Active Learning for Text Classification
    (1998), pp. 350-358.
    by Andrew Mccallum, Kamal Nigam
  • Combining labeled and unlabeled data with co-training
    (1998), pp. 92-100.
    by Avrim Blum, Tom Mitchell
  • Text categorization with support vector machines: learning with many relevant features
    (April 1998), pp. 137-142.
    by Thorsten Joachims
    posted to classification learning machine machines support svm text vector by vlachmore on 2007-10-04 17:28:06 as read
  • Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods
    The Annals of Statistics, Vol. 26, No. 5. (1998), pp. 1651-1686.
    by Robert E Schapire, Yoav Freund, Peter Bartlett, Wee S Lee
    posted to boosting learning machine by vlachmore on 2007-10-04 17:17:04 as read along with 1 person bbabenko
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