Petra Perner, Azriel Rosenfeld
Proceedings of the Third International Conference on Machine Learning and Data Mining in Pattern Recognition
MLDM, 2003.

@proceedings{MLDM-2003,
	address       = "Leipzig, Germany",
	editor        = "Petra Perner and Azriel Rosenfeld",
	isbn          = "3-540-40504-6",
	publisher     = "{Springer International Publishing}",
	series        = "{Lecture Notes in Computer Science}",
	title         = "{Proceedings of the Third International Conference on Machine Learning and Data Mining in Pattern Recognition}",
	volume        = 2734,
	year          = 2003,
}

Contents (37 items)

8 ×#using
5 ×#classification
5 ×#image
5 ×#mining
4 ×#learning
3 ×#analysis
3 ×#sequence
2 ×#bound
2 ×#clustering
2 ×#documentation

MLDM-2003-Craw #learning #reasoning

Introspective Learning to Build Case-Based Reasoning (CBR) Knowledge Containers (SC), pp. 1–6.

MLDM-2003-Bunke #data mining #graph #machine learning #mining #tool support

Graph-Based Tools for Data Mining and Machine Learning (HB), pp. 7–19.

MLDM-2003-CeciAM

Simplification Methods for Model Trees with Regression and Splitting Nodes (MC, AA, DM), pp. 20–34.

MLDM-2003-ComiteGT #learning #multi

Learning Multi-label Alternating Decision Trees from Texts and Data (FDC, RG, MT), pp. 35–49.

MLDM-2003-Boulle #named

Khiops: A Discretization Method of Continuous Attributes with Guaranteed Resistance to Noise (MB), pp. 50–64.

MLDM-2003-Scaringella #classification #on the

On the Size of a Classification Tree (AS), pp. 65–72.

MLDM-2003-RodriguesDFVC #algorithm #analysis #clustering #comparative #profiling

A Comparative Analysis of Clustering Algorithms Applied to Load Profiling (FR, FJFD, VF, ZAV, MC), pp. 73–85.

MLDM-2003-BicegoMF #clustering #markov #modelling #sequence #similarity #using

Similarity-Based Clustering of Sequences Using Hidden Markov Models (MB, VM, MATF), pp. 86–95.

MLDM-2003-DongKS #optimisation #parallel #performance

A Fast Parallel Optimization for Training Support Vector Machine (JxD, AK, CYS), pp. 96–105.

MLDM-2003-Tortorella

A ROC-Based Reject Rule for Support Vector Machines (FT), pp. 106–120.

MLDM-2003-ArmengolP

Remembering Similitude Terms in CBR (EA, EP), pp. 121–130.

MLDM-2003-YangOFZ #authoring #maintenance

Authoring Cases from Free-Text Maintenance Data (CY, RO, BF, MZ), pp. 131–140.

MLDM-2003-MiteranBB #approximate #bound #classification #image #realtime #segmentation #using

Classification Boundary Approximation by Using Combination of Training Steps for Real-Time Image Segmentation (JM, SB, EBB), pp. 141–155.

MLDM-2003-EstruchFHR #classification

Simple Mimetic Classifiers (VE, CF, JHO, MJRQ), pp. 156–171.

MLDM-2003-BouguilaZV #classification #image #novel

Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification (NB, DZ, JV), pp. 172–181.

MLDM-2003-Nedelko #empirical #quality

Estimating a Quality of Decision Function by Empirical Risk (VMN), pp. 182–187.

MLDM-2003-HadidP #linear #performance

Efficient Locally Linear Embeddings of Imperfect Manifolds (AH, MP), pp. 188–201.

MLDM-2003-GiacintoR #difference #feedback #image #representation #retrieval

Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval (GG, FR), pp. 202–214.

MLDM-2003-DehmeshkiKC #rule-based #set

A Rule-Based Scheme for Filtering Examples from Majority Class in an Imbalanced Training Set (JD, MK, MVC), pp. 215–223.

MLDM-2003-KrawiecB #learning #recognition

Coevolutionary Feature Learning for Object Recognition (KK, BB), pp. 224–238.

MLDM-2003-AntunesO #constraints #mining

Generalization of Pattern-Growth Methods for Sequential Pattern Mining with Gap Constraints (CA, ALO), pp. 239–251.

MLDM-2003-TanakaU #analysis #component #multi #principle #using

Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle (YT, KU), pp. 252–265.

MLDM-2003-ChiuX #mining #optimisation

Optimizing Financial Portfolios from the Perspective of Mining Temporal Structures of Stock Returns (KCC, LX), pp. 266–275.

MLDM-2003-MagnussonV #network #sequence #using #visualisation

Visualizing Sequences of Texts Using Collocational Networks (CM, HV), pp. 276–283.

MLDM-2003-KostersPP #analysis #complexity #implementation

Complexity Analysis of Depth First and FP-Growth Implementations of APRIORI (WAK, WP, VP), pp. 284–292.

MLDM-2003-LeleuRBE #dataset #mining #named

GO-SPADE: Mining Sequential Patterns over Datasets with Consecutive Repetitions (ML, CR, JFB, GE), pp. 293–306.

MLDM-2003-DeventerDNK #modelling #testing #using

Using Test Plans for Bayesian Modeling (RD, JD, HN, OK), pp. 307–316.

MLDM-2003-KimJ #network #using

Using Bayesian Networks to Analyze Medical Data (ICK, YGJ), pp. 317–327.

MLDM-2003-DenoyerG #categorisation #documentation #generative #xml

A Belief Networks-Based Generative Model for Structured Documents. An Application to the XML Categorization (LD, PG), pp. 328–342.

MLDM-2003-Barsi #graph #self #using

Neural Self-Organization Using Graphs (AB), pp. 343–352.

MLDM-2003-KayaA #mining

Integrating Fuzziness with OLAP Association Rules Mining (MK, RA), pp. 353–368.

MLDM-2003-Sy

Discovering Association Patterns Based on Mutual Information (BKS), pp. 369–378.

MLDM-2003-LazliS #fuzzy #logic #probability #recognition #speech #using

Connectionist Probability Estimators in HMM Arabic Speech Recognition Using Fuzzy Logic (LL, MS), pp. 379–388.

MLDM-2003-KawamotoIH #image #sequence

Shape Recovery from an Unorganized Image Sequence (KK, AI, KH), pp. 389–399.

MLDM-2003-KuhnertK #classification #image #learning

A Learning Autonomous Driver System on the Basis of Image Classification and Evolutional Learning (KDK, MK), pp. 400–412.

MLDM-2003-ImiyaTOH #bound #detection #random #set

Detecting the Boundary Curve of Planar Random Point Set (AI, KT, HO, VH), pp. 413–424.

MLDM-2003-PiwowarskiG #documentation #information retrieval #machine learning

A Machine Learning Model for Information Retrieval with Structured Documents (BP, PG), pp. 425–438.