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amirsaffaris library [156 articles]

Nye artikler sendt til amirsaffaris bibliotek.
  • Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 3. (2008), pp. 424-437.
    by Akinori Fujino, Naonori Ueda, Kazumi Saito
    posted to semi-supervised by amirsaffari on 2008-06-05 11:18:46 as ** along with 2 people yaroslavvb jjrodriguez
  • Semi-Supervised Boosting using Visual Similarity Learning
    (2008)
    by C Leistner, H Grabner, H Bischof
    posted to semi-supervised boosting by amirsaffari on 2008-06-05 07:36:37 as read
  • ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
    (2008), pp. 600-607.
    by N Loeff, D Forsyth, D Ramachandran
    posted to semi-supervised boosting by amirsaffari on 2008-06-05 07:34:53 as read
  • Semi-Supervised Learning Literature Survey
    (2007)
    by Xiaojin Zhu
    posted to semi-supervised by amirsaffari on 2008-06-05 07:26:46 as read
  • Semi-supervised protein classification using cluster kernels.
    Bioinformatics, Vol. 21, No. 15. (1 August 2005), pp. 3241-3247.
    by J Weston, C Leslie, E Ie, D Zhou, A Elisseeff, WS Noble
    posted to svm semi-supervised by amirsaffari on 2008-06-01 12:01:58 as read along with 4 people kozaki chrn filippone kallberg
  • Large scale semi-supervised linear SVMs
    (2006), pp. 477-484.
    by Vikas Sindhwani, Sathiya S Keerthi
    posted to svm semi-supervised by amirsaffari on 2008-06-01 00:02:25 as read
  • The Margin Vector, Admissible Loss and Multi-class Margin-based Classifiers
    (2005)
    by Hui Zou, Ji Zhu, Trevor Hastie
    posted to multi-class margin by amirsaffari on 2008-05-26 06:22:59 as read
  • The Elements of Statistical Learning
    (09 August 2001)
    by T Hastie, R Tibshirani, JH Friedman
    posted to machine learning by amirsaffari on 2008-05-01 11:56:54 as read along with 39 people and 10 groups ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg Repton kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish quianominorleo dquercia robotact blueskies jaonary CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
  • Greedy function approximation: A gradient boosting machine.
    The Annals of Statistics, Vol. 29, No. 5. (2001), pp. 1189-1232.
    by Jerome Friedman
    posted to boosting by amirsaffari on 2008-04-29 09:05:01 as read
  • Multi-class AdaBoost
    (2006)
    by Ji Zhu, Saharon Rosset, Hui Zou, Trevor Hastie
    posted to boosting by amirsaffari on 2008-04-07 07:53:23 as read along with 1 person yosuke
  • Designing of a Stand-Alone Bedside Monitoring System using 80C196KC Micro-Controller and Graphic LCD
    (1999)
    by Amir Saffari
    posted to no-tag by amirsaffari on 2008-03-27 13:00:45 as **
  • Analyzing Information Processing Models of Biological Neural Networks: A Time-Coding Approach
    (December 2001)
    by Amir Saffari
    posted to neuro-science snn by amirsaffari on 2008-03-27 12:59:03 as read
  • Reports on BCI Competitions 2003
    (2003)
    by Amir Saffari, S Ashkboos, T Emami
    posted to bci challenge by amirsaffari on 2008-03-27 12:57:45 as read
  • Spiking Neural Networks: Dynamical Systems Approach (I, II, III)
    (2003-2005)
    by Amir Saffari
    posted to no-tag by amirsaffari on 2008-03-27 12:56:07 as read
  • Quick Start Guide for CLOP
    (2006)
    by Amir Saffari, Isabelle Guyon
    posted to clop by amirsaffari on 2008-03-27 12:53:52 as read
  • Video Tracking - Red Light Enforcement
    (2006)
    by Amir Saffari, Horst Bischof
    posted to tracking by amirsaffari on 2008-03-27 12:52:49 as read
  • Results of the NIPS 2006 Model Selection Game
    (December 2006)
    by Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin Cawley, Olivier Guyon
    posted to challenge by amirsaffari on 2008-03-27 12:51:27 as read
  • A Review on OGY Algorithm for Chaos Control
    (1999)
    by Amir Saffari
    posted to chaos by amirsaffari on 2008-03-27 12:48:36 as read
  • A New Modeling View of Mind-Brain Interaction Using Chaotic Dynamics and Quantum Mechanics
    (2001)
    by Amir Saffari, Mehdi Azizian
    posted to neuro-science by amirsaffari on 2008-03-27 12:47:03 as read
  • An Information Compression Method Based on Chaotic Dynamics and Neural Networks
    (2001)
    by Amir Saffari, Mehdi Azizian
    posted to neuro-science by amirsaffari on 2008-03-27 12:46:07 as read
  • NIPS Feature Selection Challenge: Details of Methods
    (December 2003)
    by Amir Saffari
    posted to challenge by amirsaffari on 2008-03-27 12:44:01 as read
  • Unknown Environment Representation for Mobile Robot Using Spiking Neural Networks
    (June 2005), pp. 49-52.
    by Amir Saffari
    posted to snn by amirsaffari on 2008-03-27 12:42:28 as read
  • Predicting Text Relevance from Sequential Reading Behavior
    (December 2005), pp. 25-30.
    edited by Kai Puolamaki, Samuel Kaski
    posted to challenge by amirsaffari on 2008-03-27 12:40:29 as read
  • Variable Selection using Correlation and Single Variable Classifier Methods: Applications
    (2006), pp. 343-358.
    by Amir Saffari
    edited by Isabelle Guyon, Steve Gunn, Masoud Nikravesh, Lofti Zadeh
    posted to challenge by amirsaffari on 2008-03-27 12:38:19 as read
  • Performance Prediction Challenge
    (July 2006), pp. 2958-2965.
    by Isabelle Guyon, Amir Saffari, Gideon Dror, Joachim Buhmann
    posted to challenge by amirsaffari on 2008-03-27 12:23:27 as read
  • Book Review: Complex Worlds from Simpler Nervous Systems, by Frederick R. Prete, editor, MIT Press 2004
    International Journal of Computational Intelligence and Applications (IJCIA), Vol. 6, No. 4. (December 2006), pp. 569-572.
    by Amir Saffari
    posted to neuro-science by amirsaffari on 2008-03-27 12:20:43 as read
  • Clustering in a Boosting Framework
    (February 2007), pp. 75-82.
    by Amir Saffari, Horst Bischof
    posted to boosting clustering by amirsaffari on 2008-03-27 12:17:04 as read
  • Agnostic Learning vs. Prior Knowledge Challenge
    (August 2007), pp. 829-834.
    by Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin Cawley
    posted to challenge by amirsaffari on 2008-03-27 12:14:20 as read
  • CLOP: a Matlab Learning Object Package
    (December 2007)
    by Isabelle Guyon, Amir Saffari, Hugo Escalante, Gökhan Bakir, Gavin Cawley
    posted to clop by amirsaffari on 2008-03-27 10:42:35 as read
  • Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
    Neural Networks, Vol. 21, No. 2-3. (March 2008), pp. 544-550.
    by Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin Cawley
    posted to challenge by amirsaffari on 2008-03-27 10:40:09 as read
  • Boosting for Model-Based Data Clustering
    (June 2008)
    by Amir Saffari, Horst Bischof
    posted to boosting clustering ensemble by amirsaffari on 2008-03-27 10:36:34 as read
  • Putting Objects in Perspective
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 2 (2006), pp. 2137-2144.
    by D Hoiem, AA Efros, M Hebert
    posted to context spatial by amirsaffari on 2008-03-19 09:19:27 as ** along with 1 person assad79
  • A Hierarchical Field Framework for Unified Context-Based Classification
    (2005), pp. 1284-1291.
    by Sanjiv Kumar, Martial Hebert
    posted to context spatial by amirsaffari on 2008-03-19 09:18:08 as **
  • Probabilistic spatial context models for scene content understanding
    Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, Vol. 1 (2003), pp. I-235-I-241 vol.1.
    by A Singhal, Jiebo Luo, Weiyu Zhu
    posted to context spatial by amirsaffari on 2008-03-19 09:13:18 as ** along with 2 people zeppe casi
  • Semi-Supervised Learning
    (2006)
    edited by O Chapelle, B Schölkopf, A Zien
    posted to learning semi-supervised by amirsaffari on 2008-03-19 06:19:38 as **
  • Information Theory and Statistical Mechanics
    Physical Review, Vol. 106, No. 4. (1957), pp. 620-630.
    by ET Jaynes
    posted to information theory by amirsaffari on 2008-03-18 19:31:24 as **
  • SemiBoost: Boosting for Semi-Supervised Learning
    (2007)
    by Pavan K Mallapragada, Rong Jin, Anil K Jain, Yi Liu
    posted to boosting semi-supervised by amirsaffari on 2008-03-17 16:56:17 as read
  • Exploiting unlabeled data in ensemble methods
    (2002), pp. 289-296.
    by Kristin P Bennett, Ayhan Demiriz, Richard Maclin
    posted to boosting semi-supervised by amirsaffari on 2008-03-17 16:52:36 as read
  • Transductive Inference for Text Classification using Support Vector Machines
    (1999), pp. 200-209.
    by Thorsten Joachims
    posted to semi-supervised svm by amirsaffari on 2008-03-17 16:50:56 as **
  • The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on, Vol. 1 (2006), pp. 37-44.
    by J Winn, J Shotton
    posted to no-tag by amirsaffari on 2008-03-14 15:26:46 as ** along with 2 people and 4 groups jekky GernotMargreitner CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR
  • Keypoint recognition using randomized trees
    Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, No. 9. (2006), pp. 1465-1479.
    by V Lepetit, P Fua
    posted to forest random by amirsaffari on 2008-03-14 15:22:30 as ** along with 2 people hayko GernotMargreitner
  • Random Forests
    Machine Learning, Vol. V45, No. 1. (1 October 2001), pp. 5-32.
    by Leo Breiman
    posted to forest random by amirsaffari on 2008-03-14 14:45:45 as read along with 8 people carlk AbnerCYH kaarsinogen sdvillal maheshj lp2 poluxmoon jdu
  • Trust region Newton method for large-scale logistic regression
    (2007)
    by CJ Lin, RC Weng, SS Keerthi
    posted to svm by amirsaffari on 2008-03-14 14:39:31 as read
  • Semi-supervised protein classification using cluster kernels
    Bioinformatics, Vol. 21 (2005), pp. 3241-3247.
    by Jason Weston, Christina Leslie, Eugene Ie, Dengyong Zhou, Andre Elisseeff, William S Noble
    posted to semi-supervised svm by amirsaffari on 2008-03-14 13:31:32 as **
  • Semi-supervised support vector machines for unlabeled data classification
    Optimization Methods and Software, Vol. 15 (2001), pp. 29-44.
    by F Fung, O Mangasarian
    posted to semi-supervised svm by amirsaffari on 2008-03-14 13:29:29 as **
  • A maximum entropy approach to natural language processing
    Comput. Linguist., Vol. 22, No. 1. (March 1996), pp. 39-71.
    by Adam L Berger, Vincent J Della Pietra, Stephen A Della Pietra
    posted to entropy maximum by amirsaffari on 2008-03-14 09:39:00 as ** along with 1 person vlachmore
  • Regularized Boost for Semi-Supervised Learning
    (2008)
    by Ke Chen, Shihai Wang
    posted to boosting semi-supervised by amirsaffari on 2008-03-14 09:10:27 as read
  • Semi-Supervised MarginBoost
    (2002), pp. 553-560.
    by D'alche F Buc, Y Grandvalet, C Ambroise
    posted to boosting semi-supervised by amirsaffari on 2008-03-14 09:03:18 as read along with 2 people sugarexpletive ebrochu
  • Objects in Context
    (2007)
    by Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora, Serge Belongie
    posted to no-tag by amirsaffari on 2008-03-08 18:24:43 as read
  • Functional gradient techniques for combining hypotheses
    (1999), pp. 221-247.
    by L Mason, J Baxter, P Bartlett, M Frean
    edited by A Smola, P Bartlett, B Scholkopf, D Schuurmans
    posted to boosting by amirsaffari on 2008-02-15 14:42:53 as read
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