Machine learning and data mining in pattern recognition :third international conference, MLDM 2003, Leipzig, Germany, July 25 5-7, 2003, proceedings

• 出版: Berlin ;New York : Springer 2003.
• 稽核項: 1 online resource (xii, 440 pages) :illustrations.
• 叢書名: Lecture notes in computer science ;2734.Lecture notes in artificial intelligence
• 標題: Pattern perception , Machine learning. , COMPUTERS Enterprise Applications -- Business Intelligence Tools. , Pattern perception. , Enterprise ApplicationsBusiness Intelligence Tools. , COMPUTERS Intelligence (AI) & Semantics. , COMPUTERS , Image processing Congresses. , Conference papers and proceedings. , Machine learning , Data mining Congresses. , Machine learning Congresses. , Data mining. , Data mining , Pattern perception Congresses. , Image processing. , Image processing , Electronic books. , Intelligence (AI) & Semantics.
• ISBN: 3540450653 , 9783540450658
• ISBN: 3540405046 , 9783540405047
• 試查全文@TNUA:
  
• 附註: Includes bibliographical references and index. Invited Talkes -- Introspective Learning to Build Case-Based Reasoning (CBR) Knowledge Containers -- Graph-Based Tools for Data Mining and Machine Learning -- Decision Trees -- Simplification Methods for Model Trees with Regression and Splitting Nodes -- Learning Multi-label Alternating Decision Trees from Texts and Data -- Khiops: A Discretization Method of Continuous Attributes with Guaranteed Resistance to Noise -- On the Size of a Classification Tree -- Clustering and Its Applications -- A Comparative Analysis of Clustering Algorithms Applied to Load Profiling -- Similarity-Based Clustering of Sequences Using Hidden Markov Models -- Support Vector Machines -- A Fast Parallel Optimization for Training Support Vector Machine -- A ROC-Based Reject Rule for Support Vector Machines -- Case-Based Reasoning -- Remembering Similitude Terms in CBR -- Authoring Cases from Free-Text Maintenance Data -- Classification, Retrieval, and Feature Learning -- Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation -- Simple Mimetic Classifiers -- Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification -- Estimating a Quality of Decision Function by Empirical Risk -- Efficient Locally Linear Embeddings of Imperfect Manifolds -- Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval -- A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set -- Coevolutionary Feature Learning for Object Recognition -- Discovery of Frequently or Sequential Patterns -- Generalization of Pattern-Growth Methods for Sequential Pattern Mining with Gap Constraints -- Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle -- Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns -- Visualizing Sequences of Texts Using Collocational Netwo
• 摘要: This book constitutes the refereed proceedings of the Third International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2003, held in Leipzig, Germany, in July 2003. The 33 revised full papers presented together with two invited papers were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on decision trees; clustering and its applications; support vector machines; case-based reasoning; classification, retrieval, and feature Learning; discovery of frequent or sequential patterns; Bayesian models and methods; association rule mining; and applications.
• 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=101623
• 系統號: 005313225
• 資料類型: 電子書
• 讀者標籤: 需登入
• 引用網址: 複製連結
• 目前引用數