ICMLA 2005: Los Angeles, California, USA

M. Arif Wani, Mariofanna G. Milanova, Lukasz A. Kurgan, Marek Reformat, Khalid Hafeez (Eds.): Fourth International Conference on Machine Learning and Applications, ICMLA 2005, Los Angeles, California, USA, 15-17 December 2005. IEEE Computer Society 2005, ISBN 0-7695-2495-8

Invited Paper

Stuart Harvey Rubin:
A system of systems (SoS) design amplifier.

Classification I

Thomas Villmann, Frank-Michael Schleif, Barbara Hammer:
Fuzzy Labeled Soft Nearest Neighbor Classification with Relevance Learning.
Abdul Majid, Asifullah Khan, Anwar M. Mirza:
Intelligent combination of kernels information for improved classification.
Senjian An, Wanquan Liu, Svetha Venkatesh:
Fast cross-validation of kernel Fisher discriminant classifiers.

Classification II

Daisuke Yamaguchi, GuoDong Li, Kozo Mizutani, Takahiro Akabane, Masatake Nagai, Masatoshi Kitaoka:
Decision rule extraction and reduction based on grey lattice classification.
Péter Schönhofen, András A. Benczúr:
Feature selection based on word-sentence relation.
Minoo Aminian:
Active learning for reducing bias and variance of a classifier using Jensen-Shannon divergence.
Ricardo Blanco-Vega, José Hernández-Orallo, M. José Ramírez-Quintana:
Knowledge acquisition through machine learning: minimising expert's effort.
Taghi M. Khoshgoftaar, Jason Van Hulse:
Identifying noise in an attribute of interest.

Applications I

Mahsa Kamali Moghaddam, Reza Safabakhsh:
TASOM-based lip tracking using the color and geometry of the face.
Effrosini Kokiopoulou, Yousef Saad:
Face recognition using OPRA-faces.
Alina Lazar, Bradley Shellito:
Comparing machine learning classification schemes - a GIS approach.
Justin M. Beaver, Guy A. Schiavone, Joseph Berrios:
Predicting software suitability using a Bayesian belief network.
M. Arif Wani, Sumia Rashid:
Parallel algorithm for control chart pattern recognition.

Applications II

Marcos M. Campos, Peter J. Stengard, Boriana L. Milenova:
Data-centric automated data mining.
Marcos M. Campos, Boriana L. Milenova:
Creation and deployment of data mining-based intrusion detection systems in Oracle Database l0g.
Christophe G. Giraud-Carrier:
The data mining advisor: meta-learning at the service of practitioners.
Taghi M. Khoshgoftaar, Shyam Varan Nath, Shi Zhong, Naeem Seliya:
Intrusion detection in wireless networks using clustering techniques with expert analysis.

Special Session: Applications of Machine Learning in Medicine and Biology I

François Fleuret, Wulfram Gerstner:
A Bayesian kernel for the prediction of neuron properties from binary gene profiles.
Lit-Hsin Loo, Samuel Roberts, Leonid Hrebien, Moshe Kam:
New filter-based feature selection criteria for identifying differentially expressed genes. 10
Huimin Geng, Xutao Deng, Hesham H. Ali:
A new clustering algorithm using message passing and its applications in analyzing microarray data.
Li Liao, Robel Y. Kahsay, Guang R. Gao:
Discriminating transmembrane proteins from signal peptides using SVM-Fisher approach.
Roger A. Craig, Li Liao:
Iterative weighting of phylogenetic profiles increases classification accuracy.

Special Session: Applications of Machine Learning in Medicine and Biology II

Rodrigo A. Vivanco, Aleksander B. Demko, Nick J. Pizzi:
Scopira: a pattern recognition application framework for biomedical datasets.
Mila Kwiatkowska, Anthony S. Atkins, Najib T. Ayas, C. Frank Ryan:
Integrating knowledge-driven and data-driven approaches for the derivation of clinical prediction rules.
Rafal Rak, Lukasz A. Kurgan, Marek Reformat:
Multi-label associative classification of medical documents from MEDLINE.

Special Session: Applications of Machine Learning in Medicine and Biology III

Ying Liu:
Drug design by machine learning: ensemble learning for QSAR modeling.
Glenn Fung, Maleeha Qazi, Sriram Krishnan, Jinbo Bi, R. Bharat Rao, A. Katz:
Sparse classifiers for Automated HeartWall Motion Abnormality Detection. 194-200
Júlio C. Nievola, Helyane Bronoski Borges:
Attribute selection methods comparison for classification of diffuse large B-cell lymphoma.
Adam E. Gaweda, Mehmet Kerem Müezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier:
Incorporating prior knowledge into Q-learning for drug delivery individualization.

Special Session: Applications of Machine Learning in Medicine and Biology IV

Mark W. Schmidt, Ilya Levner, Russell Greiner, Albert Murtha, Aalo Bistritz:
Segmenting brain tumors using alignment-based features.
Valentina Zubek, David Verbel, Olivier Saidi:
Censored Time Trees^TM for predicting time to PSA recurrence.
Hui Liu, Ash Kshirsagar, Craig Niederberger:
The application of machine learning techniques to the prediction of erectile dysfunction.
Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen Muggleton:
Abduction and induction for learning models of inhibition in metabolic networks.
Iead Rezek, Stephen J. Roberts, Ellini Siva, R. Conradt:
Depth of anaesthesia assessment with generative polyspectral models.

Learning

Yasutoshi Yajima, Takashi Hoshiba:
Optimization approaches for semi-supervised learning.
Shinichi Hamano:
Equating interestingness of causal rules via graded response theory.
Filip Zelezný:
Efficient construction of relational features.

Clustering

Rasika Amarasiri, Jason Ceddia, Damminda Alahakoon:
Exploratory data mining lead by text mining using a novel high dimensional clustering algorithm.
Gül Nildem Demir, A. Sima Etaner-Uyar, Sule Gündüz Ögüdücü:
A new graph-based evolutionary approach to sequence clustering.
Ding Zhou, Yang Song, Hongyuan Zha, Ya Zhang:
Towards discovering organizational structure from email corpus.
Ray R. Hashemi, Mahmood Bahar, Christopher Childers, Alexander A. Tyler:
Decoupling of clustering and classification steps in a cluster-based classification.

Text Processing

Vishwa Vinay, Ingemar J. Cox, Kenneth R. Wood, Natasa Milic-Frayling:
A comparison of dimensionality reduction techniques for text retrieval.
Hemant Joshi, Coskun Bayrak:
Learning contextual behavior of text data.
Thammanoon Ditcharoen, Kanlaya Naruedomkul, Nick Cercone, Bundit Tipakorn:
TSTMT: step towards an accurate Thai sign translation.
Catarina Silva, Bernardete Ribeiro, Uros Lotric:
Speeding-up text categorization in a grid computing environment.

Evolutionary-Based Methods

Ryouei Takahashi:
Solving the traveling salesman problem through genetic algorithms with changing crossover operators.
Shinji Eto, Kotaro Hirasawa, Jinglu Hu:
Switching for functional localization of genetic network programming.
Janaki Gopalan, Emin Erkan Korkmaz, Reda Alhajj, Ken Barker:
Effective data mining by integrating genetic algorithm into the data preprocessing phase.
Xin Li, Chi Zhou, Weimin Xiao, Peter C. Nelson:
Direct evolution of hierarchical solutions with self-emergent substructures.
Fernando Lozano, Vladimir Koltchinskii:
Self bounding genetic algorithms for machine learning.

Boosting

Rosa Maria Valdovinos, José Salvador Sánchez:
Class-dependant resampling for medical applications.
Sang Hwa Lee, Hong Il Kim, Nam Ik Cho, Yu Han Jeong, Ki Suk Chung, Chung Sam Jun:
Automatic defect classification using boosting.
Hong Il Kim, Sang Hwa Lee, Nam Ik Cho:
An efficient multicategory classifier based on AdaBoosting.
Fernando Lozano, Pedro Rangel:
Algorithms for parallel boosting.
Pedro Rangel, Fernando Lozano, Elkin García:
Boosting of support vector machines with application to editing.

Associations Learning

Mehdi Adda, Petko Valtchev, Rokia Missaoui, Chabane Djeraba:
On the discovery of semantically enhanced sequential patterns.
Xiaomeng Wang, Christian Borgelt, Rudolf Kruse:
Fuzzy frequent pattern discovering based on recursive elimination.
Mirko Böttcher, Martin Spott, Detlef Nauck:
Detecting temporally redundant association rules.
Aniket Mahanti, Reda Alhajj:
Visual interface for online watching of frequent itemset generation in Apriori and Eclat.

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