BibSLEIGH — Proceedings of the Ninth International Conference on Machine Learning and Data Mining in Pattern Recognition

Petra Perner
Proceedings of the Ninth International Conference on Machine Learning and Data Mining in Pattern Recognition
MLDM, 2013.

KER

@proceedings{MLDM-2013,
	address       = "New York, New York, USA",
	doi           = "10.1007/978-3-642-39712-7",
	editor        = "Petra Perner",
	isbn          = "978-3-642-39711-0",
	publisher     = "{Springer International Publishing}",
	series        = "{Lecture Notes in Computer Science}",
	title         = "{Proceedings of the Ninth International Conference on Machine Learning and Data Mining in Pattern Recognition}",
	volume        = 7988,
	year          = 2013,
}

Contents (49 items)

MLDM-2013-OnoderaS #kernel: The Gapped Spectrum Kernel for Support Vector Machines (TO, TS), pp. 1–15.
MLDM-2013-KoharaS #learning #self: Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learning (KK, IS), pp. 16–26.
MLDM-2013-BrownPD #algorithm #search-based: Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks (MSB, MJP, HD), pp. 27–41.
MLDM-2013-ElGibreenA #learning #multi #product line: Multi Model Transfer Learning with RULES Family (HE, MSA), pp. 42–56.
MLDM-2013-ValencioKMSM #3d #data mining #mining #visualisation: 3D Geovisualisation Techniques Applied in Spatial Data Mining (CRV, TK, CAdM, RCGdS, JMM), pp. 57–68.
MLDM-2013-GaoD #data mining #distributed #mining #performance #using: Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow (JG, JD), pp. 69–83.
MLDM-2013-SouzaP #random #recognition #word: Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words (CRdS, EBP), pp. 84–98.
MLDM-2013-KokkulaM #classification #detection #synthesis #topic: Classification and Outlier Detection Based on Topic Based Pattern Synthesis (SK, NMM), pp. 99–114.
MLDM-2013-BouillonAA #evolution #fuzzy #gesture #learning #recognition: Decremental Learning of Evolving Fuzzy Inference Systems: Application to Handwritten Gesture Recognition (MB, ÉA, AA), pp. 115–129.
MLDM-2013-ParraL #clustering #dataset #using: Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering (FLP, EL), pp. 130–143.
MLDM-2013-MaziluCGRHT #detection #learning #predict: Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease (SM, AC, EG, DR, JMH, GT), pp. 144–158.
MLDM-2013-LeeBZ #fuzzy #logic #multi #summary #topic #using: Multi-document Text Summarization Using Topic Model and Fuzzy Logic (SL, SB, YZ), pp. 159–168.
MLDM-2013-BijaksanaLA #classification: A Pattern Based Two-Stage Text Classifier (MAB, YL, AA), pp. 169–182.
MLDM-2013-HuangC #image #lightweight #segmentation #web: Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation (CMH, YJC), pp. 183–194.
MLDM-2013-GopalakrishnaOLL #algorithm #machine learning #metric: Relevance as a Metric for Evaluating Machine Learning Algorithms (AKG, TO, AL, JJL), pp. 195–208.
MLDM-2013-OthmanB #induction #reduction: Preceding Rule Induction with Instance Reduction Methods (OO, CHB), pp. 209–218.
MLDM-2013-StambaughYB #feature model: Analytic Feature Selection for Support Vector Machines (CS, HY, FB), pp. 219–233.
MLDM-2013-DincA #classification #evaluation #image #random #using: Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform (SD, RSA), pp. 234–245.
MLDM-2013-DoganBK #algorithm #integration #self: SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms (YD, DB, AK), pp. 246–259.
MLDM-2013-DittakanCC #case study #comparative #image #mining: Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland (KD, FC, RC), pp. 260–274.
MLDM-2013-PoziMD #estimation #predict: Density Ratio Estimation in Support Vector Machine for Better Generalization: Study on Direct Marketing Prediction (MSMP, AM, AD), pp. 275–280.
MLDM-2013-SigdelA #assessment #classification #correlation #named: Pacc — A Discriminative and Accuracy Correlated Measure for Assessment of Classification Results (MS, RSA), pp. 281–295.
MLDM-2013-Suthaharan #big data #classification #network: A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion (SS), pp. 296–310.
MLDM-2013-HaralickLM #composition: Relation Decomposition: The Theory (RMH, LL, EM), pp. 311–324.
MLDM-2013-AmalamanER #detection #using: Using Turning Point Detection to Obtain Better Regression Trees (PKA, CFE, NJR), pp. 325–339.
MLDM-2013-CastroSAE #automation #classification #database #using #web: Automatic Classification of Web Databases Using Domain-Dictionaries (HMMC, VJSS, ILA, HJEB), pp. 340–351.
MLDM-2013-AllahSG #algorithm #array #dataset #mining #performance #scalability: An Efficient and Scalable Algorithm for Mining Maximal — High Confidence Rules from Microarray Dataset (WZAA, YKES, FFMG), pp. 352–366.
MLDM-2013-YasojimaFBOS #analysis #case study #generative #power management: Partial Discharge Analysis and Inspection Alert Generation in High Power Transformers: A Case Study of an Autotransformer Bank at Eletrobrás-ELETRONORTE Vila do Conde Station (CTKY, MSF, FdSB, TFdO, AMdS), pp. 367–378.
MLDM-2013-NikovskiWESSMT #data analysis #detection: Smart Meter Data Analysis for Power Theft Detection (DNN, ZW, AE, HS, KS, TM, KT), pp. 379–389.
MLDM-2013-CarvalhoR #nondeterminism #overview #perspective: Discovering Frequent Itemsets on Uncertain Data: A Systematic Review (JVdC, DDR), pp. 390–404.
MLDM-2013-LiM #community #mining #network #topic: Mining Groups of Common Interest: Discovering Topical Communities with Network Flows (LL, NDM), pp. 405–420.
MLDM-2013-SharmaG #detection: Optimal Time Segments for Stress Detection (NS, TG), pp. 421–433.
MLDM-2013-ChungJKL #identification #personalisation #recommendation: Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification (YC, HWJ, JK, JHL), pp. 434–441.
MLDM-2013-ChatzilariLNK #case study #comparative #mobile #recognition #visual notation: A Comparative Study on Mobile Visual Recognition (EC, GL, SN, YK), pp. 442–457.
MLDM-2013-SappP #classification #clustering #predict: Accuracy-Based Classification EM: Combining Clustering with Prediction (SS, AP), pp. 458–465.
MLDM-2013-PrieditisL #bound #classification #performance #problem #using: When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency (AP, ML), pp. 466–480.
MLDM-2013-PrieditisS #lazy evaluation: Lazy Overfitting Control (AP, SS), pp. 481–491.
MLDM-2013-PohlZ #automation #n-gram #recognition #speech #using: Using Part of Speech N-Grams for Improving Automatic Speech Recognition of Polish (AP, BZ), pp. 492–504.
MLDM-2013-EichelbergerS #classification #empirical #multi: An Empirical Study of Reducing Multiclass Classification Methodologies (RKE, VSS), pp. 505–519.
MLDM-2013-VavreckaL #classification #feature model: EEG Feature Selection Based on Time Series Classification (MV, LL), pp. 520–527.
MLDM-2013-MinhAN #algorithm #feature model: DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines (LHM, LTHA, MCN), pp. 528–542.
MLDM-2013-SentzH #analysis: Information Gap Analysis for Decision Support Systems in Evidence-Based Medicine (KS, FMH), pp. 543–554.
MLDM-2013-MartineauCF #algorithm #independence #named #topic: TISA: Topic Independence Scoring Algorithm (JCM, DC, TF), pp. 555–570.
MLDM-2013-ParimiC #predict: Pre-release Box-Office Success Prediction for Motion Pictures (RP, DC), pp. 571–585.
MLDM-2013-ZhaiHOHH #concept: Shifting Concepts to Their Associative Concepts via Bridges (HZ, MH, YO, KH, SH), pp. 586–600.
MLDM-2013-HuSAD #network #performance #statistics: Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data (KH, AS, DA, CD), pp. 601–615.
MLDM-2013-LiuLM #approach #combinator #lightweight #multi: A Lightweight Combinatorial Approach for Inferring the Ground Truth from Multiple Annotators (XL, LL, NDM), pp. 616–628.
MLDM-2013-DoanDP #classification #scalability #visual notation: Large Scale Visual Classification with Many Classes (TND, TND, FP), pp. 629–643.
MLDM-2013-WilliamsHFR #classification #distance #evaluation #probability: Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers (SW, MH, JDF, DSR), pp. 644–657.

Petra PernerProceedings of the Ninth International Conference on Machine Learning and Data Mining in Pattern RecognitionMLDM, 2013.

Contents (49 items)

Petra Perner
Proceedings of the Ninth International Conference on Machine Learning and Data Mining in Pattern Recognition
MLDM, 2013.