sona library [89 articles]

Bootstrap - Inspired Techniques in Computation Intelligence

Signal Processing Magazine, IEEE, Vol. 24, No. 4. (2007), pp. 59-72.

by R Polikar

posted to mixture-of-experts missing-feature incremental-learning data-fusion boosting bagging adaboost by sona on 2008-07-18 13:51:20 as

Semi-Supervised Learning Literature Survey

Vol. Tech. Rep. No. 1530 (December 2007)

by Xiaojin Zhu

posted to survey semi-supervised by sona on 2008-05-14 15:22:59 as

Selection of relevant features and examples in machine learning

Artificial Intelligence, Vol. 97, No. 1. (December 1997), pp. 245-271.

by AL Blum, P Langley

posted to dimensionality-reduction embedded-feature-selection feature-selection filter-feature-selection survey weighting-feature-selection wrapper-feature-selection by sona on 2008-04-09 17:22:18 as along with 3 people srp33 yaroslavvb sdvillal

Regularization theory and neural networks architectures

Neural Comput., Vol. 7, No. 2. (March 1995), pp. 219-269.

by Federico Girosi, Michael Jones, Tomaso Poggio

posted to neural-networks regularization by sona on 2008-04-09 16:20:04 as

Semi-Supervised Learning using Gaussian Fields and Harmonic Functions

(2003)

by Xiaojin Zhu, Zoubin Ghahramani, John Lafferty

posted to semi-supervised relational-learning real-dataset random-field linked-input kernel-methods digits-recognition by sona on 2008-04-08 19:09:07 as along with 1 person ebrochu

A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis

Journal of Machine Learning Research, Vol. 7 (July 2006), pp. 1159-1182.

by Enrique Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos

posted to fast-learning learning-algorithms neural-networks sensitivity-analysis supervised by sona on 2008-04-03 15:20:55 as

Data clustering: a review

ACM Computing Surveys, Vol. 31, No. 3. (1999), pp. 264-323.

by AK Jain, MN Murty, PJ Flynn

posted to survey unsupervised by sona on 2007-02-08 17:42:03 as along with 23 people and 3 groups burtonwu radical V pdlug stanley jelsas gangli macowell mhaller ali grimm numata carueda microserf rahul aviad_work rchauhan sugarexpletive anirudhvr stewi2 MortMan nklee shinichi3 tulip SRL BUiGEM

The random subspace method for constructing decision forests

Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 20, No. 8. (1998), pp. 832-844.

by Tin K Ho

posted to random-subspace-method mixture-of-experts feature-selection decision-trees by sona on 2008-07-18 17:23:56 as along with 2 people and 1 group jxl drivard EC

Random subspace method for multivariate feature selection

Pattern Recognition Letters, Vol. 27, No. 10. (15 July 2006), pp. 1067-1076.

by Carmen Lai, Marcel J Reinders, Lodewyk Wessels

posted to weighting-feature-selection small-sample-size-problem random-subspace-method high-dimensions feature-selection feature-ranking dimensionality-reduction boosting by sona on 2008-07-18 13:43:26 as

Ensemble Feature Ranking

Knowledge Discovery in Databases: PKDD 2004 (2004), pp. 267-278.

by Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag

posted to filter-feature-selection feature-ranking ensemble-methods by sona on 2008-06-11 21:44:13 as

On kernel methods for relational learning

International Conference on Machine Learning (ICML) (2003), pp. 107-114.

by Chad Cumby, Dan Roth

posted to svm relational-learning kernel-methods composite-kernel by sona on 2008-04-28 13:40:14 as along with 1 person julianpan

A composite kernel to extract relations between entities with both flat and structured features

International Conference on Computational Linguistics and the annual meeting of the ACL (2006), pp. 825-832.

by Min Zhang, Jie Zhang, Jian Su, Guodong Zhou

posted to svm supervised structured-input kernel-methods composite-kernel by sona on 2008-04-28 13:24:51 as along with 1 person julianpan

Bagging Predictors

Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140.

by Leo Breiman

posted to bagging survey by sona on 2008-04-09 19:02:00 as along with 3 people drivard ngarera maheshj

Challenges in Statistical Machine Learning

Statistica Sinica, Vol. 16 (2006), pp. 307-322.

by John Lafferty, Larry Wasserman

posted to editorial high-dimensions relational-learning semi-supervised sparse-learning structured-prediction by sona on 2008-04-08 19:34:47 as

An introduction to variable and feature selection

Journal of Machine Learning Research, Vol. 3 (2003), pp. 1157-1182.

by Isabelle Guyon, André Elisseeff

posted to dimensionality-reduction feature-selection survey by sona on 2008-03-19 14:27:47 as along with 15 people AbnerCYH amargoli yaroslavvb bigga JoSeK davidr gyuli buescher76 mukundn student_t chiahuey gkvas Mohan-S dimatura gabriprat

Learning to Decode Cognitive States from Brain Images

Machine Learning Journal, Vol. 57, No. 1-2. (2004), pp. 145-175.

by T Mitchell, R Hutchinson, S Niculescu, F Pereira, X Wang, M Just, S Newman

posted to cognitive-states fmri by sona on 2007-07-26 14:36:17 as

Dynamic Recurrent Neural Networks

(1990)

by B Pearlmutter

posted to bpts neural-networks supervised by sona on 2007-05-31 15:12:54 as

A Comparison of Implicit and Explicit Links for Web Page Classification

by Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen

posted to svm supervised naive-bayes linked-input by sona on 2007-02-16 15:39:11 as

Learning to cluster using local neighborhood structure

by R Rosales, K Achan, B Frey

posted to unsupervised text-classification semi-supervised probabilistic linked-input by sona on 2007-02-09 15:29:35 as

Semi-supervised clustering with user feedback

(2003)

by D Cohn, R Caruana, A Mccallum

posted to active-learning probabilistic semi-supervised by sona on 2007-02-09 14:39:14 as along with 3 people ldietz anon_pl koles

Semi-supervised clustering by seeding

(2002)

by S Basu, A Banerjee, R Mooney

posted to k-means semi-supervised unsupervised by sona on 2007-02-08 18:52:15 as along with 4 people samal anon_pl jread82 nklee

Clustering with Soft and Group Constraints

by Martin L Alexander

posted to probabilistic semi-supervised unsupervised by sona on 2007-02-08 18:50:02 as

Integrating constraints and metric learning in semi-supervised clustering

(2004)

by M Bilenko, S Basu, R Mooney

posted to k-means semi-supervised unsupervised by sona on 2007-02-08 18:36:56 as

A Probabilistic Framework for Semi-Supervised Clustering

(August 2004), pp. 59-68.

by Sugato Basu, Mikhail Bilenko, Raymond J Mooney

posted to hidden-markov-random-fields probabilistic semi-supervised unsupervised by sona on 2007-02-08 18:28:47 as along with 3 people anon_pl lfdoherty pkufranky

On Discovery of Extremely Low-Dimensional Clusters Using Semi-Supervised Projected Clustering

by Kevin Y Yip, David W Cheung, Michael K Ng

posted to semi-supervised unsupervised by sona on 2007-02-08 18:22:37 as

Efficient learning in adaptive processing of data structures

Neural processing letters, Vol. 17, No. 2. (2003), pp. 175-190.

by CHO Siu-Yeung, Zheru Chi, Zhiyong Wang, SIU Wan-Chi

posted to bpts by sona on 2007-01-09 16:40:49 as

A multi-facet taxonomy system with applications in unstructured knowledge management

Journal of Knowledge Management, Vol. 9, No. 6. (June 2005), pp. 76-91.

by CF Cheung, WB Lee, Y Wang

posted to hierarchical-classifier multi-label structured-output supervised taxonomy by sona on 2006-12-07 12:52:07 as along with 1 person osloirc

Hierarchical Text Categorization Using Neural Networks

Inf. Retr., Vol. 5, No. 1. (January 2002), pp. 87-118.

by Miguel E Ruiz, Padmini Srinivasan

posted to hierarchical-classifier mixture-of-experts neural-networks structured-output supervised top-down by sona on 2005-03-03 16:40:19 as along with 2 people and 2 groups adamcheng agaelebe Ubicomp LocationAwareComputing

Feature ranking methods based on information entropy with Parzen windows

International Conference on Research in Electrotechnology and Applied Informatics (REI'05) (2005), pp. 109-119.

by J Biesiada, W Duch, A Kachel, K Maczka, S Palucha

posted to survey real-data feature-ranking artificial-data by sona on 2008-06-11 21:48:59 as

Bagging neural network sensitivity analysis for feature reduction for in-silico drug design

International Joint Conference on Neural Networks (IJCNN), Vol. 4 (2001), pp. 2478-2482 vol.4.

by MJ Embrechts, F Arciniegas, M Ozdemir, CM Breneman, K Bennett, L Lockwood

posted to dimensionality-reduction embedded-feature-selection feature-selection neural-networks sensitivity-analysis by sona on 2008-04-09 18:02:12 as

Dimensionality reduction via sparse support vector machines

Journal of Machine Learning Research, Vol. 3 (2003), pp. 1229-1243.

by Jinbo Bi, Kristin Bennett, Mark Embrechts, Curt Breneman, Minghu Song

posted to dimensionality-reduction embedded-feature-selection feature-selection kernel-methods regularization sparse-learning svm by sona on 2008-04-09 17:36:34 as along with 2 people sdvillal KaraNagai

Location estimation in wireless networks: a Bayesian approach

Statistica Sinica, Vol. 16, No. 2. (2006), pp. 495-522.

by David Madigan, Wen-Hua Ju, P Krishnan, AS Krishnakumar, Ivan Zorych

posted to bayesian-networks graphical-models localization monte-carlo sensor-networks by sona on 2008-04-09 16:36:28 as

Accurate Ranking of Differentially Expressed Genes by a Distribution-Free Shrinkage Approach

Statistical Applications in Genetics and Molecular Biology, Vol. 6, No. 1. (2007)

by Rainer Opgen-Rhein, Korbinian Strimmer

posted to james-stein regularization shrinkage t-statistic by sona on 2007-05-31 14:46:15 as along with 694 people and 131 groups fernand0 dperkel egh jyuh samth sora florine ladygoat hopm hellige parmentierf ssn mortimer tinkha V plaugg ansobol mjaz berthelemy eldan pdlug zephoria carloscabanillas Janos bkliethermes nazareno elsantosneto januadiaboli yaroslavvb jurijmlotman geomblog srl bigga treycausey CSG mcphee chandrashekar denns matzke sherrivokey cassj lijil hlovise coolger incites bigmagpie alicetiara yorgos johannsen cavlec smbrower viller jenmy mlzafron tymmail sedging davidr macowell eimaj42jdp Flit BenWillems agallet hawesie sngourlay jolilius rmagf acer ville garyfeng danifazzio willwade gantlord melanieramage mgregg cwb neteler carneym crispinb rdlong lillekatt davemack agarza carsonr imcdnzl tjimenez Tolik lna dmikurube szityu michmill P2324548 jpbenda Vaccine tadm mkwalker anar grzegorz japple planetoid okarsligil stormybriggs UWerplab nbr inbetweener pafmon stina pgastrein xiruela kutabar jfr xamde kliether mleis jshahin cmunson lfriedl sharonhoward ccots terraces czlamer brent_lance subhradeep jjray Jellyfish cmmorel bayesian benavides ghsalazar manuelpq sekulerlab jmaryott kristina chad_davis Ayest thens austin RMGraze e2holmes JAShapiro contradictoryben lrodero jamesfournie nybon hawkestein diegolino_veneziano rvosa Schmidtc lyongu ricmilne KarinaFigueroa jfmenudet cdmilligan great_apes brthz juliajumeau gloinf billwolff mrkrause halsnalle pintman yish mkcerusky cyph3r idm smithco ruudvanleeuwen BarrosH aelva harshpshah earnoux princessbritty Laki kupopo ryang eustatic daqing balicea stain matts ram frankgrimes Pfaff9 locatellimp seawidget ianli kate_waxlyrical rherring ThomasEtEckert cliona shaun gregnishihara harmonjt Happybene jklugman mwyarbro rburnett prabakaran nperrin tystl gugek NicolasNeubauer gytisc Nele pedagogicapprentice dlouzeck phillipkent emerson rafamayo arichar6 pasion sadsackmac gbae redcourgette sunilbajpai JJNonesuch heintz BuckeyePhysicist bretblosser charlesijones term duckysherwood madhadron ypeter cmm agraham yijisoo jberro peaksun balabu djsaab crumj garypearce rinelk plashkes PaulB charlescearl malkav30 p2p-sec langec tuaba os252 JonathanFeinberg jingliu dvoigt hywel tshr dgront isorhiza foistudy jenine donade kmcolo fisherp voiklis insilico fitzgeraldsteele junoda sumeetonweb familydoc craigtalbert dmitri83 dmboyer martint RalphPutnam atsu-kan hlwoodcock reta gogabr smmurphy rafabravo dabhishe JennaW hisashim cjones chuggins Sulpicus ranb alikocho hiromark gane5h l-alex rdiaz pilho danzinde ueberweise wangsd echinotrix ak Odi bezbozhnik todchambers perceptron wasteland93 yizheng stephane-jean mahlow mbaric mtr anon_pl dir289 lanubile fcalefato dpeeler QFRMC xwenlong johncumbers kgronemyer keitokita hkl pervane mpennell kedmond mfisk brusilovsky gregflanders hgamboa pgeymueller last5laps jbrown nathanielvirgo rwm101 ChristianGraf marohn davetown101 barbz79it naturecure edgarbc muellerkind 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adjih carpi omidf2 msampson olaf markusd paulschlesinger qwermish librain pkrrules nellapower thehajime PeterRabbit paulvb cvq peefeeyatko kinestetika lynleypage truongducthang metaspencer dodger042 jpassoth krokicki tibbitts brianlimyl vogmae doylem nkishan joni2am hayko gjhuang ashko buggle bemike cvarnam umurthy21 andregermanoregert Katje midshipman tgyork ivanois toivotuo jnz snyder84 idonaldson dandaman awc psique Thaverkamp mtugrul buchgeher fairy mebiel lectorespa bennettn waszak forestier claudiotubertini acastaner hkreysa AnneB christiankissig GimpyBee sgclendenon paj prdrieze cortex rschulz aklassen kenneth1ny nschaeff japarejo andreacastelletti schocol scarcelan hillarpoldmaa kcrawlik ipora yavanna Grobi s-fujii kdesmond bjbecerra LTrottier ziggy talkingpoints linxiang mllee monkare scottkb pantxorama petergun6666 iantunbridge farzanehs murb wartaalman christian_librarian jago jsenn mpisarenco blackm0k applebyb bluecricket mrosenki carterb BrianTomasik mfloris adamsi yungyuc schulz iup massimocencini natasjadenouden nickpitman genericg dmmarinlo nikko kericson makbot squirmelia ezaydens adenkabe ThomasKluge pdessus Neeperando hrwiltse vrich ranger amydash taenneken gvandyk1 giolakat sarahmccrum melody Corbasson skumagai nlauzier Langster mirweis Stepstep abdulpur tbolt427 jeanbean Axis ablam CGREL CMU-HCII NU-PRL UoY-CS-AIG Blog_and_Wiki_Research CompetitionLawAndPolicy Tectonics_and_geomorphology NeuronDynamics Context-driven-testers ReadingLab political_science_students kdl distance remote TUCS-ES_Lab Quantum_physics_Education WAND sims_phd_cohort_2005 ASR digital_youth Librarians biodiversity_conservation Global_biodiversity_model InformationRetrieval Wikipedia AssistiveTechnology Bioinformatics mathgamespatterns MACLab folksonomy Neuroscience VisionLab Personal-Information-Management CMS Stoc_Proc_Ecology_WG LanguageAndBrain BrainTheory dtl hdm id vds-arg ALF DPR EvolutionaryComputation STS infovis 2ndFloor fammed-publichealth AI eni Biofluid FAB-lab 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VivesMinions PostureMobility compneur Philosophy of physics PsychStatsBanter Video based Animation for People Knowledge_Economy_Reform Global_patent_pools Social Informatics @ IU

On Maximum Margin Hierarchical Multilabel Classification

by Juho Rousu, Craig Saunders, Et

posted to hierarchical-classifier multi-label probabilistic structured-output supervised svm taxonomy text-classification by sona on 2007-04-05 16:35:16 as along with 1 person jread82

Active semi-supervision for pairwise constrained clustering

(2004)

by S Basu, A Banerjee, R Mooney

posted to active-learning k-means semi-supervised unsupervised by sona on 2007-02-09 14:33:04 as

Hierarchical Multi-Classification

(2002)

by H Blockeel, M Bruynooghe, S Dzeroski, J Ramon, J Struyf

posted to no-tag by sona on 2007-01-09 11:48:33 as along with 1 person marymcglo

Use of Neural Network to determine the Boiling Point of Alkanes

J. Chem. Soc. Faraday Trans., Vol. 90, No. 1. (1994), pp. 97-102.

by D Cherqaoui, D Villemin

posted to chemistry neural-networks by sona on 2007-08-02 14:10:04 as

Application of Cascade Correlation Networks for Structures to Chemistry

Journal of Applied Intelligence (Kluwer Academic Publishers), Vol. 12 (2000), pp. 117-146.

by AM Bianucci, A Micheli, A Sperduti, A Starita

edited by Kluwer A Publishers

posted to cascade-correlation chemistry structured-input by sona on 2007-08-02 14:10:04 as

Bi-directional computing architectures for time series prediction

Neural Network, Vol. 14 (2001), pp. 1307-1321.

by H Wakuya, J Zurada

posted to cascade-correlation contextual-processing recurrent-neural-networks sequences structured-input by sona on 2007-08-02 14:10:04 as

A Learning Algorithm for Continually Running Fully Recurrent Neural Networks

Neural Computation, Vol. 1 (1989), pp. 270-280.

by RJ Williams, D Zipser

posted to learning-algorithms recurrent-neural-networks by sona on 2007-08-02 14:10:04 as

Time Series Prediction by a Neural Network Model Based on the Bi-directional Computational Style

(2000)

by H Wakuya, J Zurada

posted to contextual-processing neural-networks time-series by sona on 2007-08-02 14:10:04 as

Bi-Causal Recurrent Cascade Correlation

Vol. 3 (2000), pp. 3-8.

by A Micheli, D Sona, A Sperduti

posted to cascade-correlation contextual-processing recurrent-neural-networks structured-input time-series by sona on 2007-08-02 14:10:04 as

Phoneme recognition using time--delay neural networks

IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 37, No. 3. (1989), pp. 328-339.

by A Waibel, T Hanazawa, G Hinton, K Shikano, K Lang

posted to bibtex-import by sona on 2007-08-02 14:10:04 as

The Recurrent Cascade-Correlation Architecture

(1991), pp. 190-196.

by SE Fahlman

edited by RP Lippmann, JE Moody, DS Touretzky

posted to cascade-correlation recurrent-neural-networks by sona on 2007-08-02 14:10:04 as

Exploiting the past and the future in protein secondary structure prediction

Bioinformatics, Vol. 15, No. 11. (1999), pp. 937-946.

by P Baldi, S Brunak, P Frasconi, G Pollastri, G Soda

posted to bibtex-import by sona on 2007-08-02 14:10:04 as

Supervised Neural Networks for the Classification of Structures

IEEE Transactions on Neural Networks, Vol. 8, No. 3. (1997), pp. 714-735.

by A Sperduti, A Starita

posted to neural-networks recursive-neural-networks structured-input by sona on 2007-08-02 14:10:04 as

Predicting the secondary structure of globular proteins using neural network models

Journal of Molecular Biology, Vol. 202 (1988), pp. 865-884.

by N Qian, TJ Sejnowski

posted to bibtex-import by sona on 2007-08-02 14:10:04 as

Logical Bayesian Networks and their relation to other probabilistic logical models

(2005)

by D Fierens, H Blockeel, M Bruynooghe, J Ramon

posted to bayesian-networks probabilistic-logical relational-learning by sona on 2007-06-11 09:36:13 as along with 2 people quianominorleo Maderlock

A Random Forest Approach to Relational Learning

by Anneleen Van Assche

posted to random-forest relational-learning by sona on 2007-06-11 09:34:46 as

Kernels for structured data

(2002)

by T Gartner, J Lloyd, P Flach

posted to kernel-methods relational-learning svm by sona on 2007-06-11 09:34:23 as along with 1 person sb-3000