COPYRIGHT YEAR

2013

AUTHORS

Petra Perner

TYPE

Proceedings

TITLE

Machine Learning and Data Mining in Pattern Recognition

DESCRIPTION

Proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition

PUBLISHER

Springer Berlin Heidelberg

BOOK (manifestation)

  • Book: 978-3-642-39712-7 (eBook)
  • Book: 978-3-642-39711-0 (Book)

  • Related objects

    CONFERENCE

  • Conference: International Workshop On Machine Learning And Data Mining In Pattern Recognition

  • CHAPTERS

  • BookChapter: Mining Groups of Common Interest: Discovering Topical Communities with Network Flows
  • BookChapter: Shifting Concepts to Their Associative Concepts via Bridges
  • BookChapter: Classification and Outlier Detection Based on Topic Based Pattern Synthesis
  • BookChapter: Unsupervised Tagging of Spanish Lyrics Dataset Using Clustering
  • BookChapter: Discovering Frequent Itemsets on Uncertain Data: A Systematic Review
  • BookChapter: TISA: Topic Independence Scoring Algorithm
  • BookChapter: Analytic Feature Selection for Support Vector Machines
  • BookChapter: Improving the Efficiency of Distributed Data Mining Using an Adjustment Work Flow
  • BookChapter: Preceding Rule Induction with Instance Reduction Methods
  • BookChapter: Using Turning Point Detection to Obtain Better Regression Trees
  • BookChapter: A Comparative Study on Mobile Visual Recognition
  • BookChapter: Applying a Lightweight Iterative Merging Chinese Segmentation in Web Image Annotation
  • BookChapter: Large Scale Visual Classification with Many Classes
  • BookChapter: Information Gap Analysis for Decision Support Systems in Evidence-Based Medicine
  • BookChapter: EEG Feature Selection Based on Time Series Classification
  • BookChapter: 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
  • BookChapter: Multi Model Transfer Learning with RULES Family
  • BookChapter: Automatic Classification of Web Databases Using Domain-Dictionaries
  • BookChapter: Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data
  • BookChapter: Pacc - A Discriminative and Accuracy Correlated Measure for Assessment of Classification Results
  • BookChapter: The Gapped Spectrum Kernel for Support Vector Machines
  • BookChapter: Using Part of Speech N-Grams for Improving Automatic Speech Recognition of Polish
  • BookChapter: Smart Meter Data Analysis for Power Theft Detection
  • BookChapter: Decremental Learning of Evolving Fuzzy Inference Systems: Application to Handwritten Gesture Recognition
  • BookChapter: Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks
  • BookChapter: Pre-release Box-Office Success Prediction for Motion Pictures
  • BookChapter: A Lightweight Combinatorial Approach for Inferring the Ground Truth from Multiple Annotators
  • BookChapter: An Efficient and Scalable Algorithm for Mining Maximal
  • BookChapter: Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland
  • BookChapter: SOM++: Integration of Self-Organizing Map and K-Means++ Algorithms
  • BookChapter: Optimal Time Segments for Stress Detection
  • BookChapter: A Pattern Based Two-Stage Text Classifier
  • BookChapter: Density Ratio Estimation in Support Vector Machine for Better Generalization: Study on Direct Marketing Prediction
  • BookChapter: Relation Decomposition: The Theory
  • BookChapter: Feature Learning for Detection and Prediction of Freezing of Gait in Parkinson’s Disease
  • BookChapter: An Empirical Study of Reducing Multiclass Classification Methodologies
  • BookChapter: Multi-document Text Summarization Using Topic Model and Fuzzy Logic
  • BookChapter: Typhoon Damage Scale Forecasting with Self-Organizing Maps Trained by Selective Presentation Learning
  • BookChapter: When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency
  • BookChapter: Evaluation of Hyperspectral Image Classification Using Random Forest and Fukunaga-Koontz Transform
  • BookChapter: Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification
  • BookChapter: Lazy Overfitting Control
  • BookChapter: Area under the Distance Threshold Curve as an Evaluation Measure for Probabilistic Classifiers
  • BookChapter: 3D Geovisualisation Techniques Applied in Spatial Data Mining
  • BookChapter: A Single-Domain, Representation-Learning Model for Big Data Classification of Network Intrusion
  • BookChapter: Accuracy-Based Classification EM: Combining Clustering with Prediction
  • BookChapter: DCA Based Algorithms for Feature Selection in Semi-supervised Support Vector Machines
  • BookChapter: Relevance as a Metric for Evaluating Machine Learning Algorithms
  • BookChapter: Sign Language Recognition with Support Vector Machines and Hidden Conditional Random Fields: Going from Fingerspelling to Natural Articulated Words

  • PRODUCT MARKET CODES

  • Computer Science
  • Algorithm Analysis And Problem Complexity
  • Data Mining And Knowledge Discovery
  • Artificial Intelligence (Incl. Robotics)
  • Pattern Recognition

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    20 sg:title Machine Learning and Data Mining in Pattern Recognition
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