Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings

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Datensatz im Suchindex

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adam_text IMAGE 1 TABLE OF CONTENTS CLASSIFICATION AND DECISION THEORY QUADRATICALLY CONSTRAINED MAXIMUM A POSTERIORI ESTIMATION FOR BINARY CLASSIFIER 1 TATSUYA YOKOTA AND YUKIHIKO YAMASHITA HUBNESS-BASED FUZZY MEASURES FOR HIGH-DIMENSIONAL /C-NEAREST NEIGHBOR CLASSIFICATION 16 NENAD TOMASEV, MILOS RADOVANOVIC, DUNJA MLADENIC, AND MIRJANA IVANOVIC DECISIONS: ALGEBRA AND IMPLEMENTATION 31 ANTONINA DANYLENKO, JONAS LUNDBERG, AND WEI} LOEWE SMOOTHING MULTINOMIAL NAIVE BAYES IN THE PRESENCE OF IMBALANCE 46 ALEXANDER Y. LIU AND CHERYL E. MARTIN ACE-COST: ACQUISITION COST EFFICIENT CLASSIFIER BY HYBRID DECISION TREE WITH LOCAL SVM LEAVES 60 LIYUN LI, UMUT TOPKARA, AND NASIR MEMON INFORMATIVE VARIABLES SELECTION FOR MULTI-RELATIONAL SUPERVISED LEARNING 75 DHAFER LAHBIB, MARC BOULLE, AND DOMINIQUE LAURENT SEPARABILITY OF SPLIT VALUE CRITERION WITH WEIGHTED SEPARATION GAINS . . 88 KRZYSZTOF GRQBCZEWSKI GRANULAR INSTANCES SELECTION FOR FUZZY MODELING 99 S. SAKINAH S. AHMAD AND WITOLD PEDRYCZ PARAMETER-FREE ANOMALY DETECTION FOR CATEGORICAL DATA 112 SHU WU AND SHENGRUI WANG FUZZY SEMI-SUPERVISED SUPPORT VECTOR MACHINES 127 HOUDA BENBRAHIM GENCCS: A CORRELATED GROUP DIFFERENCE APPROACH TO CONTRAST SET MINING 140 MONDELLE SIMEON AND ROBERT HILDERMAN COLLECTIVE CLASSIFICATION USING HETEROGENEOUS CLASSIFIERS 155 ZEHRA CATALTEPE, ABDULLAH SONMEZ, KADRIYE BAGLIOGLU, AND AY SE ERZAN BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1013510976 DIGITALISIERT DURCH IMAGE 2 X TABLE OF CONTENTS SPHERICAL NEAREST NEIGHBOR CLASSIFICATION: APPLICATION TO HYPERSPECTRAL DATA 170 DALTON LUNGA AND OKAN ERSOY ADAPTIVE KERNEL DIVERSE DENSITY ESTIMATE FOR MULTIPLE INSTANCE LEARNING 185 TAO XU, IKER GONDRA, AND DAVID CHIU BOOSTING INSPIRED PROCESS FOR IMPROVING AUC 199 VICTOR S. SHENG AND RAHUL TADA THEORY OF LEARNING INVESTIGATION IN TRANSFER LEARNING: BETTER WAY TO APPLY TRANSFER LEARNING BETWEEN AGENTS 210 LUIZ ANTONIO CELIBERTO JUNIOR AND JACKSON P. MATSUURA EXPLORATION STRATEGIES FOR LEARNED PROBABILITIES IN SMART TERRAIN 224 JOHN SULLINS SENSITIVITY ANALYSIS FOR WEAK CONSTRAINT GENERATION 239 JAMSHAID G. MOHEBZADA, MICHAEL M. RICHTER, AND GUENTHER RUHE DICTIONARY LEARNING BASED ON LAPLACIAN SCORE IN SPARSE CODING 253 JIN XU AND HONG MAN CLUSTERING A PRACTICAL APPROACH FOR CLUSTERING TRANSACTION DATA 265 MOHAMED BOUGUESSA HIERARCHICAL CLUSTERING WITH HIGH ORDER DISSIMILARITIES 280 HELENA AIDOS AND ANA FRED CLUST-XPATHS: CLUSTERING OF XML PATHS 294 AMINA MADANI, OMAR BOUSSAID, AND DJAMEL EDDINE ZEGOUR COMPARING CLUSTERING AND METACLUSTERING ALGORITHMS 306 ELIO LOZANO AND EDGAR ACUNA APPLICATIONS IN MEDICINE DETECTION OF PHENOTYPES IN MICROARRAY DATA USING FORCE-DIRECTED PLACEMENT TRANSFORMS 320 DRAGANA VELJKOVIC PEREZ AND KAY A. ROBBINS ON THE TEMPORAL BEHAVIOR OF EEG RECORDED DURING REAL FINGER MOVEMENT 335 BASHAR AWWAD SHIEKH HASAN IMAGE 3 TABLE OF CONTENTS XI A MACHINE LEARNING AND DATA MINING FRAMEWORK TO ENABLE EVOLUTIONARY IMPROVEMENT IN TRAUMA TRIAGE 348 DOUGLAS A. TALBERT, MATT HONEYCUTT, AND STEVE TALBERT A DECISION SUPPORT SYSTEM BASED ON THE SEMANTIC ANALYSIS OF MELANOMA IMAGES USING MULTI-ELITIST PSO AND SVM 362 WERONIKA PIATKOWSKA, JERZY MARTYNA, LESZEK NOWAK, AND KAROL PRZYSTALSKI WEBMINING/INFORMATION MINING AUTHORSHIP SIMILARITY DETECTION FROM EMAIL MESSAGES 375 XIAOLING CHEN, PENG HAO, R. CHANDRAMOULI, AND K.P. SUBBALAKSHMI AN INVESTIGATION CONCERNING THE GENERATION OF TEXT SUMMARISATION CLASSIFIERS USING SECONDARY DATA 387 MATIAS G ARDA-CONSTANTINO, FRANS COENEN, P.-J. NOBLE, ALAN RAD}ORD, CHRISTIAN SETZKORN, AND AINE TIERNEY COMPARING THE ONE-VS-ONE AND ONE-VS-ALL METHODS IN BENTHIC MACROINVERTEBRATE IMAGE CLASSIFICATION 399 HENRY JOUTSIJOKI AND MARTTI JUHOLA INCREMENTAL WEB-SITE BOUNDARY DETECTION USING RANDOM WALKS 414 AYESH ALSHUKRI, FRANS COENEN, AND MICHELE ZITO DISCOVERING TEXT PATTERNS BY A NEW GRAPHIC MODEL 428 MINHUA HUANG AND ROBERT M. HARALICK TOPIC SENTIMENT CHANGE ANALYSIS 443 YU JIANG, WEIYI MENG, AND CLEMENT YU ADAPTIVE CONTEXT MODELING FOR DECEPTION DETECTION IN EMAILS 458 PENG HAO, XIAOLING CHEN, NA CHENG, R. CHANDRAMOULI, AND K.P. SUBBALAKSHMI CONTRASTING CORRELATIONS BY AN EFFICIENT DOUBLE-CLIQUE CONDITION 469 AIXIANG LI, MAKOTO HARAGUCHI, AND YOSHIAKI OKUBO MACHINE LEARNING AND IMAGE MINING ESTIMATING IMAGE SEGMENTATION DIFFICULTY 484 DINGDING LIU, YINGEN XIONG, KARI PULLI, AND LINDA SHAPIRO MINING SPATIAL TRAJECTORIES USING NON-PARAMETRIC DENSITY FUNCTIONS . . 496 CHUN-SHENG CHEN, CHRISTOPH F. EICK, AND NOUHAD J. RIZK IMAGE 4 XII TABLE OF CONTENTS EXPLORING SYNERGETIC EFFECTS OF DIMENSIONALITY REDUCTION AND RESAMPLING TOOLS ON HYPERSPECTRAL IMAGERY DATA CLASSIFICATION 511 J.S. SANCHEZ, V. GARCIA, AND R.A. MOLLINEDA A COMPARISON BETWEEN HARALICK'S TEXTURE DESCRIPTOR AND THE TEXTURE DESCRIPTOR BASED ON RANDOM SETS FOR BIOLOGICAL IMAGES 524 ANJA ATTIG AND PETRA PERNER TIME SERIES AND FREQUENT ITEM SET MINING UNSUPERVISED DISCOVERY OF MOTIFS UNDER AMPLITUDE SCALING AND SHIFTING IN TIME SERIES DATABASES 539 TOM ARMSTRONG AND ERIC DREWNIAK STATIC LOAD BALANCING OF PARALLEL MINING OF FREQUENT ITEMSETS USING RESERVOIR SAMPLING 553 ROBERT KESSL GA-TVRC: A NOVEL RELATIONAL TIME VARYING CLASSIFIER TO EXTRACT TEMPORAL INFORMATION USING GENETIC ALGORITHMS 568 ISMAIL GUENES, ZEHRA CATALTEPE, AND SULE GUENDUEZ OEGUEDUECUE ASPECTS OF MACHINE LEARNING AND DATA MINING DETECTION OF COMMUNITIES AND BRIDGES IN WEIGHTED NETWORKS 584 TANWISTHA SAHA, CARLOTTA DOMENICONI, AND HUZE}A RANGWALA TECHNIQUES FOR IMPROVING FILTERS IN POWER GRID CONTINGENCY ANALYSIS 599 ROBERT ADOL}, DAVID HAGLIN, MAHANTESH HALAPPANAVAR, YOUSU CHEN, AND ZHENYU HUANG AUTHOR INDEX 613
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title Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings
title_auth Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings
title_exact_search Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings
title_full Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings Petra Perner (ed.)
title_fullStr Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings Petra Perner (ed.)
title_full_unstemmed Machine learning and data mining in pattern recognition 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings Petra Perner (ed.)
title_short Machine learning and data mining in pattern recognition
title_sort machine learning and data mining in pattern recognition 7th international conference mldm 2011 new york ny usa august 30 september 3 2011 proceedings
title_sub 7th international conference , MLDM 2011, New York, NY, USA, August 30 - September 3, 2011 ; proceedings
topic Multimedia (DE-588)4192358-3 gnd
Data Mining (DE-588)4428654-5 gnd
Automatische Klassifikation (DE-588)4120957-6 gnd
Mustererkennung (DE-588)4040936-3 gnd
Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet Multimedia
Data Mining
Automatische Klassifikation
Mustererkennung
Maschinelles Lernen
Konferenzschrift 2011 New York, NY
url http://deposit.dnb.de/cgi-bin/dokserv?id=3853509&prov=M&dok_var=1&dok_ext=htm
http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024414055&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link (DE-604)BV000000607
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AT mldmnewyorkny machinelearninganddatamininginpatternrecognition7thinternationalconferencemldm2011newyorknyusaaugust30september32011proceedings