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Machine learning and data mining in pattern recognition : second international workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, proceedings

Machine learning and data mining in pattern recognition : second international workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, proceedings

자료유형
단행본
개인저자
Perner, Petra.
서명 / 저자사항
Machine learning and data mining in pattern recognition : second international workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, proceedings / Petra Perner (ed.).
발행사항
Berlin ;   New York :   Springer,   c2001.  
형태사항
xi, 361 p. : ill. ; 24 cm.
총서사항
Lecture notes in computer science ; Lecture notes in artificial intelligence 2123.
ISBN
3540423591 (softcover)
일반주기
Includes index.  
일반주제명
Pattern perception -- Congresses. Machine learning -- Congresses. Data mining -- Congresses. Image processing -- Congresses.
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008 010705s2001 gw a 101 0 eng
020 ▼a 3540423591 (softcover)
040 ▼a DLC ▼c DLC ▼d DLC ▼d 244002
042 ▼a pcc
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111 2 ▼a International Workshop MLDM 2001 ▼d (2001 : ▼c Leipzig, Germany)
245 1 0 ▼a Machine learning and data mining in pattern recognition : ▼b second international workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001, proceedings / ▼c Petra Perner (ed.).
260 ▼a Berlin ; ▼a New York : ▼b Springer, ▼c c2001.
300 ▼a xi, 361 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Lecture notes in computer science ; ▼v 2123. ▼a Lecture notes in artificial intelligence
500 ▼a Includes index.
650 0 ▼a Pattern perception ▼v Congresses.
650 0 ▼a Machine learning ▼v Congresses.
650 0 ▼a Data mining ▼v Congresses.
650 0 ▼a Image processing ▼v Congresses.
700 1 ▼a Perner, Petra.
830 0 ▼a Lecture notes in computer science ; ▼v 2123.
830 0 ▼a Lecture notes in computer science. ▼p Lecture notes in artificial intelligence.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 세종학술정보원/과학기술실/ 청구기호 006.31221 I61m 등록번호 151105985 도서상태 대출가능 반납예정일 예약 서비스 C

컨텐츠정보

목차

Invited Paper.- Technology of Text Mining.- Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining.- Case-Based Reasoning and Associative Memory.- Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications.- Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin?.- FAM-Based Fuzzy Inference for Detecting Shot Transitions.- Rule Induction and Grammars.- Rule-Based Ensemble Solutions for Regression.- Learning XML Grammars.- First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps.- Clustering and Conceptual Clustering.- Concepts Learning with Fuzzy Clustering and Relevance Feedback.- LC: A Conceptual Clustering Algorithm.- Data Mining on Signal, Images, Text and Temporal-Spatial Data.- Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data.- A Hybrid Tool for Data Mining in Picture Archiving System.- Feature Selection for a Real-World Learning Task.- Automatic Identification of Diatoms Using Decision Forests.- Validation of Text Clustering Based on Document Contents.- Nonlinear Function Learning and Neural Net Based Learning.- Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution.- How to Automate Neural Net Based Learning.- Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks.- Learning for Handwriting Recognition.- Local Learning Framework for Recognition of Lowercase Handwritten Characters.- Mirror Image Learning for Handwritten Numeral Recognition.- Statistical and Evolutionary Learning.- Face Detection by Aggregated Bayesian Network Classifiers.- Towards Self-Exploring Discriminating Features.- PCA-Based Model Selection and Fitting for Linear Manifolds.- Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields.- On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples.- Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification.- Content-Based Image Retrieval.- Adaptive Query Shifting for Content-Based Image Retrieval.- Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases.


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