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buescher76s library [33 articles]

Senaste artiklarna i buescher76s bibliotek.
  • A Taxonomy Learning Method and Its Application to Characterize a Scientific Web Community
    IEEE Trans. on Knowl. and Data Eng., Vol. 19, No. 2. (February 2007), pp. 180-191.
    by Paola Velardi, Alessandro Cucchiarelli, Michael Petit
    posted to terminology ontologies extraction by buescher76 on 2008-06-17 16:35:55 as **
  • Multi-View Hidden Markov Perceptrons
    by Ulf Brefeld, Christoph Büscher, Tobias Scheffer
    posted to hidden markov multi perceptron view by buescher76 on 2007-10-10 21:38:52 as read
  • Robust Multiple Car Tracking with Occlusion Reasoning
    (1994), pp. 189-196.
    by Dieter Koller, Joseph Weber, Jitendra Malik
    posted to tracking traffic by buescher76 on 2007-10-10 21:33:29 as read along with 1 person davidmihalcik
  • A tutorial on hidden Markov models and selected applications in speech recognition
    (1990), pp. 267-296.
    by Lawrence R Rabiner
    posted to no-tag by buescher76 on 2006-03-08 10:36:15 as ** along with 7 people MaineC rhoda OscarRueda bhaddow vlachmore DavidSchulz olbudt
  • Max margin Markov networks
    (2003)
    by B Taskar, C Guestrin, D Koller
    posted to graphical-models by buescher76 on 2005-10-31 12:36:07 as read along with 5 people and 1 group davidr wcohen wnpx mdreid wenhan Statistical Machine Learning
  • Enhancing Supervised Learning with Unlabeled Data
    (2000), pp. 327-334.
    by Sally Goldman, Yan Zhou
    posted to multi-view semi-supervised by buescher76 on 2005-10-25 15:03:01 as ** along with 3 people davidr student_t bootsy
  • Convex Optimization
    (2004)
    by Stephen Boyd, Lieven Vandenberghe
    posted to no-tag by buescher76 on 2005-10-21 11:28:14 as **
  • Semi-Supervised Learning Literature Survey
    (2005)
    by Xiaojin Zhu
    posted to learning semi-supervised by buescher76 on 2005-10-21 11:16:06 as *** along with 2 people davidr sdvillal
  • Semi-supervised learning using Gaussian fields and harmonic functions
    (2003)
    by X Zhu, Z Ghahramani, J Lafferty
    posted to learning semi-supervised by buescher76 on 2005-10-21 10:56:51 as ** along with 2 people vlachmore ananthrk
  • Generative vs Discriminative Approaches to Entity Recognition from Label-Deficient Data
    (2003)
    by Cyril Goutte, Eric Gaussier, Nicola Cancedda, Herve Dejean
    posted to named-entity-recognition semi-supervised by buescher76 on 2005-10-14 22:21:27 as ** along with 1 person lyongu
  • Active + Semi-supervised Learning = Robust Multi-View Learning
    (2002), pp. 435-442.
    by Ion Muslea, Steven Minton, Craig A Knoblock
    posted to no-tag by buescher76 on 2005-10-14 21:36:25 as ** along with 2 people davidr lyongu
  • The Not So Short Introduction to LATEX2e
    by Tobias Oetiker, Hubert Partl, Irene Hyna, Elisabeth Schlegl
    posted to no-tag by buescher76 on 2005-10-14 21:26:44 as ** along with 1 person Eva71
  • Unsupervised models for named entity classification
    (1999)
    by M Collins, Y Singer
    posted to named-entity-recognition semi-supervised unsupervised by buescher76 on 2005-10-14 11:03:13 as *** along with 4 people wcohen johnkork monster vlachmore
  • Machine Learning
    (01 March 1997)
    by Tom M Mitchell
    posted to machine-learning by buescher76 on 2005-10-14 10:21:42 as read along with 21 people and 3 groups bundschu markusd pdlug yaroslavvb jelsas kmregan carueda jounih mthomure hansjoergmueller brunomelo cerkut jvangael ajylha girschick zchen teesid dquercia robotact jdu sfeige AI RiSE contact-id
  • Learning Classification with Unlabeled Data
    (1993), pp. 112-119.
    by Virginia R de Sa
    edited by Jack D Cowan, Gerald Tesauro, Joshua Alspector
    posted to machine-learning semi-supervised unsupervised by buescher76 on 2005-10-14 10:15:46 as *** along with 1 person davidr
  • Learning with labeled and unlabeled data.
    (2002)
    by Matthias Seeger
    posted to co-training machine-learning semi-supervised unsupervised by buescher76 on 2005-10-14 09:44:53 as *** along with 2 people amargoli mamadoudiao
  • Large margin methods for label sequence learning
    (2003)
    by Y Altun, T Hofmann
    posted to hm-svm label-sequenze learning machine machine-learning svm by buescher76 on 2005-10-13 21:05:44 as ***
  • Using Unlabeled Data to Improve Text Classification
    (2001)
    by Kamal Nigam
    posted to no-tag by buescher76 on 2005-10-13 18:23:29 as ** along with 6 people pechyony davidr MatMay lyongu imrchen karlmicha
  • Analyzing the Effectiveness and Applicability of Co-training
    (2000), pp. 86-93.
    by Kamal Nigam, Rayid Ghani
    posted to co-training learning multi-view unsupervised by buescher76 on 2005-10-13 18:23:00 as ** along with 3 people davidr mukundn bpacker
  • Unsupervised Word Sense Disambiguation Rivaling Supervised Methods
    (1995), pp. 189-196.
    by David Yarowsky
    posted to learning unsupervised by buescher76 on 2005-10-13 17:33:47 as ** along with 6 people and 1 group davidr ngarera mukundn johnkork mkolar j4abhi ARTFL
  • Discriminative learning for label sequences via boosting
    (2003)
    by Y Altun, T Hofmann, M Johnson
    posted to no-tag by buescher76 on 2005-10-12 11:27:38 as read along with 2 people yaroslavvb oyen
  • Maximum Entropy Markov Models for Information Extraction and Segmentation
    (2000), pp. 591-598.
    by Andrew Mccallum, Dayne Freitag, Fernando Pereira
    posted to no-tag by buescher76 on 2005-10-11 15:06:03 as read along with 6 people halacsy unnonouno lyongu syoyo Kazuki whym
  • Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
    (2001), pp. 282-289.
    by John Lafferty, Andrew Mccallum, Fernando Pereira
    posted to crf learning sequence by buescher76 on 2005-10-11 10:54:26 as read along with 20 people and 4 groups idornescu jmackay davidr halacsy unnonouno balajis wcohen sids j3xucite knmnyn student_t dwf bundschu johnkork koji_matsuda mkolar markusd vlachmore kohei-h oyen WLV-RGCL Statistical Machine Learning oktave-labs generif_paper
  • Text Classification from Labeled and Unlabeled Documents using EM
    Machine Learning, Vol. 39, No. 2/3. (2000), pp. 103-134.
    by Kamal Nigam, Andrew K Mccallum, Sebastian Thrun, Tom M Mitchell
    posted to classification em semi-supervised text by buescher76 on 2005-10-08 15:05:19 as *** along with 8 people ecome kozaki MatMay adamchandra jread82 karlmicha ananthrk NinaG
  • Learning to classify text from labeled and unlabeled documents
    (1998), pp. 792-799.
    by Kamal Nigam, Andrew K Mccallum, Sebastian Thrun, Tom M Mitchell
    posted to no-tag by buescher76 on 2005-10-01 19:16:49 as *** along with 1 person MatMay
  • A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space
    Proceedings of the 22nd International Conference on Machine Learning, 2005 (2005)
    by JF Paiement, D Eck, S Bengio, D Barber
    posted to no-tag by buescher76 on 2005-10-01 19:13:42 as ****
  • Exponential Families for Conditional Random Fields
    (2004), pp. 2-9.
    by Altun Yasemin, Smola Alex, Hofmann Thomas
    posted to no-tag by buescher76 on 2005-09-30 13:51:03 as **** along with 3 people yaroslavvb davidr whym
  • An introduction to variable and feature selection
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182.
    by Isabelle Guyon, Andre Elisseeff
    posted to no-tag by buescher76 on 2005-09-30 13:49:05 as read along with 15 people AbnerCYH amargoli yaroslavvb bigga sona JoSeK davidr gyuli mukundn student_t chiahuey gkvas Mohan-S dimatura gabriprat
  • Pattern Classification (2nd Edition)
    (21 November 2000)
    by Richard O Duda, Peter E Hart, David G Stork
    posted to learning machine networks neural pattern recognition by buescher76 on 2005-09-30 13:47:01 as ** along with 33 people and 10 groups middell tgyork matjes napvasconcelos haiyeong ecome yaroslavvb sidr pdlug JoSeK thsant mhaller gyuli carueda xtizon leidner 1puumu jekky balajis balicea sdvillal pbellec ctacmo jclau bigbossman brunomelo ddos mattjb zeppe dimatura theus abellogin singhsh CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR AI ComplexAdaptiveSystems RiSE DSTO-CAS Medical Image Analysis and Visualization @ OSU
  • Neural Networks for Pattern Recognition
    (01 November 1995)
    by Christopher M Bishop
    posted to learning machine networks neural by buescher76 on 2005-09-30 13:46:11 as read along with 13 people and 5 groups fredguilloux yaroslavvb eme leidner jekky arielbaz filippone ephel Found poluxmoon brianmc aklassen olbudt CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR astro
  • An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
    (23 March 2000)
    by Nello Cristianini, John Shawe-Taylor
    posted to svm by buescher76 on 2005-09-30 13:45:03 as read along with 19 people and 6 groups quianominorleo yaroslavvb sb-3000 davidr baaic sleitich ryanshaw nello MatMay grzegorz lyongu archroad AbnerCYH brunomelo atbrew kklo mfcabrera asterix77 eacosta sims_phd_cohort_2005 digital_youth Computational-Genomics Pattern-Analysis AI RiSE
  • A Tutorial on Support Vector Machines for Pattern Recognition
    Data Mining and Knowledge Discovery, Vol. 2, No. 2. (1998), pp. 121-167.
    by Christopher JC Burges
    posted to machines support svm vector by buescher76 on 2005-09-30 13:43:31 as read along with 13 people and 1 group abellogin pdlug MatMay okarsligil chad_davis claudio arsyed mystery KaraNagai julial thaukko cwr clickstone Bioinformatics
  • Hidden markov support vector machines
    (2003)
    by Y Altun, I Tsochantaridis, T Hofmann
    posted to hm-svm learning machine sequence support vector by buescher76 on 2005-09-30 13:39:26 as read along with 3 people davidr scis0000001 marianzaki
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