ICMLA C

110 papers

YearTitle / Authors
2008The Sixth International Conference on Machine Learning and Applications, ICMLA 2007, Cincinnati, Ohio, USA, 13-15 December 2007
M. Arif Wani, Mehmed M. Kantardzic, Tao Li, Ying Liu, Lukasz A. Kurgan, Jieping Ye, Mitsunori Ogihara, Seref Sagiroglu, Xue-wen Chen, Leif E. Peterson, Khalid Hafeez
20072IBGSOM: interior and irregular boundaries growing self-organizing maps.
Thouraya Ayadi, Tarek M. Hamdani, Adel M. Alimi, Mohamed A. Khabou
2007A Clustering-Based Approach to Predict Outcome in Cancer Patients.
Kai Xing, Donald Henson, Dechang Chen, Li Sheng
2007A New Ant Evolution Algorithm to Resolve TSP Problem.
Qingbao Zhu, Shuyan Chen
2007A Statistical Algorithm to Discover Knowledge in Medical Data Sources.
Alexander Senf, Carl Leonard, James M. DeLeo
2007A comparison of two algorithms for predicting the condition number.
Dianwei Han, Jun Zhang
2007A hierarchical feature decomposition clustering algorithm for unsupervised classification of document image types.
Dean Curtis, Vitaliy Kubushyn, Evangelos A. Yfantis, Michael Rogers
2007A music recommendation system with a dynamic k-means clustering algorithm.
Dong Moon Kim, Kunsu Kim, Kyo-Hyun Park, Jee-Hyong Lee, Keon-Myung Lee
2007A new time series prediction algorithm based on moving average of nth-order difference.
Yang Lan, Daniel Neagu
2007A simultaneous two-level clustering algorithm for automatic model selection.
Guénaël Cabanes, Younès Bennani
2007A spline based regression technique on interval valued noisy data.
Balaji Kommineni, Shubhankar Basu, Ranga Vemuri
2007A web based adaptive educational system.
Hamdi Tolga Kahraman, Ilhami Colak, Seref Sagiroglu
2007Alignment of Multiple Proteins with an Ensemble of Hidden Markov Models.
Jia Song, Chunmei Liu, Yinglei Song, Junfeng Qu
2007An Efficient Constraint-Based Closed Set Mining Algorithm.
Haiyun Bian, Raj Bhatnagar, Barrington Young
2007An Itemset-Driven Cluster-Oriented Approach to Extract Compact and Meaningful Sets of Association Rules.
Claudio Haruo Yamamoto, Maria Cristina Ferreira de Oliveira, Magaly Lika Fujimoto, Solange Oliveira Rezende
2007An OCR-independent character segmentation using shortest-path in grayscale document images.
Jia Tse, Christopher Jones, Dean Curtis, Evangelos A. Yfantis
2007An agent based system for california electricity market: a perspective of myopic machine learning.
Toshiyuki Sueyoshi, Gopalakrishna Reddy Tadiparthi
2007An application of a rule-based model in software quality classification.
Lofton A. Bullard, Taghi M. Khoshgoftaar, Kehan Gao
2007An incremental viterbi algorithm.
Jason Bobbin
2007An optimization method for selecting parameters in support vector machines.
Yulin Dong, Manghui Tu, Zhonghang Xia, Guangming Xing
2007Association Learning in SOMs for Fuzzy-Classification.
Thomas Villmann, Frank-Michael Schleif, Martijn van der Werff, André M. Deelder, Rob A. E. M. Tollenaar
2007Automatic medical coding of patient records via weighted ridge regression.
Jian-Wu Xu, Shipeng Yu, Jinbo Bi, Lucian Vlad Lita, Radu Stefan Niculescu, R. Bharat Rao
2007Bias-variance tradeoff in hybrid generative-discriminative models.
Guillaume Bouchard
2007Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis.
Li Chen, Chen Wang, Ie-Ming Shih, Tian-Li Wang, Zhen Zhang, Yue Joseph Wang, Robert Clarke, Eric P. Hoffman, Jianhua Xuan
2007Boosting inductive transfer for text classification using wikipedia.
Somnath Banerjee
2007Bootstrapping algorithms for an application in the automotive domain.
Martin Schierle, Sascha Schulz
2007CLASSEQ: Classification of Sequences via Comparative Analysis of Multiple Genomes.
Kwangmin Choi, Youngik Yang, Sun Kim
2007Clustering Categorical Data Based on Maximal Frequent Itemsets.
Dadong Yu, Dongbo Liu, Rui Luo, Jianxin Wang
2007Co-clustering by similarity refinement.
Jian Zhang
2007Combining active learning and relevance vector machines for text classification.
Catarina Silva, Bernardete Ribeiro
2007Combining multi-distributed mixture models and bayesian networks for semi-supervised learning.
Manuel Stritt, Lars Schmidt-Thieme, Gerhard Poeppel
2007Comparison of semantic and single term similarity measures for clustering turkish documents.
Bülent Yücesoy, Sule Gündüz Ögüdücü
2007Constructive neural network ensemble for regression tasks in high dimensional spaces.
Adeline Schmitz, Hamid Hefazi
2007Control of a re-entrant line manufacturing model with a reinforcement learning approach.
José A. Ramírez-Hernández, Emmanuel Fernandez
2007Covariance matrix computations with federated databases.
Barrington Young, Raj Bhatnagar, Giridhar Tatavarty, Haiyun Bian
2007Cox's Proportional Hazards Model with Lp Penalty for Biomarker Identification and Survival Prediction.
Zhenqiu Liu
2007Design of Simple Limit Cycles with Recurrent Neural Networks for Oscillatory Control.
Guillaume Jouffroy
2007Dimensionality reduction for active learning with nearest neighbour classifier in text categorisation problems.
Michael Davy, Saturnino Luz
2007Direct calculation of predictions for K29/K29.
Brian Burford
2007Discover the power of social and hidden curriculum to decision making: experiments with enron email and movie newsgroups.
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Ismail, William A. Wallace
2007Effect of synaptic weight assignment on spiking neuron response.
Robert H. Fujii, Taiki Ichishita
2007Efficient label propagation for interactive image segmentation.
Fei Wang, Xin Wang, Tao Li
2007Enhanced recursive feature elimination.
Xue-wen Chen, Jong Cheol Jeong
2007Estimating class probabilities in random forests.
Henrik Boström
2007Evolutionary Sound Matching: A Test Methodology and Comparative Study.
Thomas J. Mitchell, David P. Creasey
2007Evolving kernel functions for SVMs by genetic programming.
Laura Diosan, Alexandrina Rogozan, Jean-Pierre Pécuchet
2007Extraction of minimum decision algorithm using rough sets and genetic algorithms.
Michiyuki Hirokane, Shusaku Kouno, Yasutoshi Nomura
2007Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge.
Young-Rae Cho, Xian Xu, Woochang Hwang, Aidong Zhang
2007Feature extraction using random matrix theory approach.
Viktoria Rojkova, Mehmed M. Kantardzic
2007Generalized Sequence Signatures through Symbolic Clustering.
Dietmar H. Dorr, Anne Denton
2007Hybrid Neural Network Based Model for Predicting the Performance of a Two Stroke Spark Ignition Engine.
Mohmad Marouf Wani, M. Arif Wani
2007Identifying Functional Binding Motifs of Tumor Protein p53 Using Support Vector Machines.
Amit U. Sinha, Mukta Phatak, Raj Bhatnagar, Anil G. Jegga
2007Improvement of Bayesian Network Inference Using a Relaxed Gene Ordering.
Dongxiao Zhu, Hua Li
2007Improving gene expression programming performance by using differential evolution.
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Nelson
2007LEONARDO - The computational intelligence (CI) model selection wizard.
Peter Owotoki, Friedrich Mayer-Lindenberg
2007Large Scale Classification with Support Vector Machine Algorithms.
Thanh-Nghi Do, Jean-Daniel Fekete
2007Learning Algorithms for Grammars of Variable Arity Trees.
Neetha Sebastian, Kamala Krithivasan
2007Learning a knowledge base of ontological concepts for high-level scene interpretation.
Johannes Hartz, Bernd Neumann
2007Learning bayesian networks consistent with the optimal branching.
Alexandra M. Carvalho, Arlindo L. Oliveira
2007Learning complex problem solving expertise from failures.
Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
2007Learning in Biomedicine and Bioinformatics Using Affinity Propagation.
Brendan J. Frey
2007Learning to evaluate conditional partial plans.
Slawomir Nowaczyk, Jacek Malec
2007Learning with limited minority class data.
Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco
2007Learning: An Effective Approach in Endgame Chess Board Evaluation.
Mehdi Samadi, Zohreh Azimifar, Mansoor Zolghadri Jahromi
2007Logistic Ensembles for Random Spherical Linear Oracles.
Leif E. Peterson, Matthew A. Coleman
2007Machine Learning Challenges in Chemoinformatics and Drug Screening and Design.
Pierre Baldi
2007Machine Learning for Information Management: Some Promising Directions.
William W. Cohen
2007Machine learned regression for abductive DNA sequencing.
David Thornley, Maxim Zverev, Stavros Petridis
2007Manifold clustering via energy minimization.
Qiyong Guo, Hongyu Li, Wenbin Chen, I-Fan Shen, Jussi Parkkinen
2007Maximum Likelihood Quantization of Genomic Features Using Dynamic Programming.
Mingzhou (Joe) Song, Robert M. Haralick, Stéphane Boissinot
2007Memory-based context-sensitive spelling correction at web scale.
Andrew Carlson, Ian Fette
2007Model evaluation for prognostics: estimating cost saving for the end users.
Chunsheng Yang, Sylvain Létourneau
2007Modeling Spatial-Temporal Epidemics Using STBL Model.
Lynne Billard, Duck-Ki Kim, Chan-Hee Lee, Sung Duck Lee, Keon-Myung Lee, Sung-Soo Kim
2007Modifying kernels using label information improves SVM classification performance.
Martin Renqiang Min, Anthony J. Bonner, Zhaolei Zhang
2007Multi-Stages Genetic Algorithms: Introducing Temporal Structures to Facilitate Selection of Optimal Evolutionary Paths.
Ting Qian
2007Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures.
Jacek M. Zurada
2007Normalized Linear Transform for Cross-Platform Microarray Data Integration.
Huilin Xiong, Ya Zhang, Xue-wen Chen
2007Performance evaluation of EANT in the robocup keepaway benchmark.
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassahun, Frank Kirchner
2007Phase transition and heuristic search in relational learning.
Érick Alphonse, Aomar Osmani
2007Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study.
Michalis E. Blazadonakis, Michalis E. Zervakis
2007Predicting Binding Sites in the Mouse Genome.
Yi Sun, Mark Robinson, Rod Adams, Neil Davey, Alistair G. Rust
2007Predicting building contamination using machine learning.
Shawn Martin, Sean McKenna
2007Probabilistic Graphical Models-Theory, Algorithm, and Application.
Eric P. Xing
2007Rare Itemset Mining.
Mehdi Adda, Lei Wu, Yi Feng
2007Recognition of ultrasonic multi-echo sequences for autonomous symbolic indoor tracking.
André Stuhlsatz
2007Reducing a Biomarkers List via Mathematical Programming: Application to Gene Signatures to Detect Time-Dependent Hypoxia in Cancer.
Glenn Fung, Renaud Seigneuric, Sriram Krishnan, R. Bharat Rao, Brad G. Wouters, Philippe Lambin
2007Rule refinement with extended data expression.
Jung Min Kong, Dong-Hun Seo, Won Don Lee
2007SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction.
Ronald C. Taylor, Mudita Singhal, Don Simone Daly, Kelly Domico, Amanda M. White, Deanna L. Auberry, Kenneth J. Auberry, Brian Hooker, Gregory B. Hurst, Jason E. McDermott, W. Hayes McDonald, Dale Pelletier, Denise Schmoyer, William R. Cannon
2007SVMotif: A Machine Learning Motif Algorithm.
Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles DeLisi
2007Scalable optimal linear representation for face and object recognition.
Yiming Wu, Xiuwen Liu, Washington Mio
2007Semantic Partition Based Association Rule Mining across Multiple Databases Using Abstraction.
P. Santhi Thilagam, V. S. Ananthanarayana
2007Semi-Supervised Active Learning for Modeling Medical Concepts from Free Text.
Rómer Rosales, Praveen Krishnamurthy, R. Bharat Rao
2007Soft Failure Detection Using Factorial Hidden Markov Models.
Guillaume Bouchard, Jean-Marc Andreoli
2007Sparsity regularization path for semi-supervised SVM.
Gilles Gasso, Karina Zapien Arreola, Stéphane Canu
2007Statistical and Biological Validation Methods in Cluster Analysis of Gene Expression.
Daniele Yumi Sunaga, Júlio C. Nievola, Milton Pires Ramos
2007Supervised reinforcement learning using behavior models.
Víctor Uc Cetina
2007Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics.
Bobbie-Jo M. Webb-Robertson, Christopher S. Oehmen, William R. Cannon
2007Technologies and Solutions for Trend Detection in Public Literature for Biomarker Discovery.
Bernd Wachmann
2007Text Mining and Ontology Applications in Bioinformatics and GIS.
Shamkant B. Navathe
2007The Natural Induction System AQ21 and its Application to Data Describing Patients with Metabolic Syndrome: Initial Results.
Janusz Wojtusiak, Ryszard S. Michalski, Thipkesone Simanivanh, Anna V. Baranova
2007Toward optimal selection of feature clusters.
Lei Yu, Hao Li
2007Tracking recurrent concept drift in streaming data using ensemble classifiers.
Sasthakumar Ramamurthy, Raj Bhatnagar
2007Uncertainty optimization for robust dynamic optical flow estimation.
Volker Willert, Marc Toussaint, Julian Eggert, Edgar Körner
2007Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes.
Sang-Chul Lee, Peter Bajcsy
2007Use of Neural Networks to Predict Adverse Outcomes from Acute Coronary Syndrome for Male and Female Patients.
Claire L. McCullough, Andrew J. Novobilski, Francis M. Fesmire
2007Using evolutionary sampling to mine imbalanced data.
Dennis J. Drown, Taghi M. Khoshgoftaar, Ramaswamy Narayanan
2007Using genetic programming for the induction of oblique decision trees.
Amin Shali, Mohammad Reza Kangavari, Bahareh Bina
2007Web based machine learning for language identification and translation.
Seref Sagiroglu, Uraz Yavanoglu, Esra Nergis Guven
2007Web-based maze robot learning using fuzzy motion control system.
Nihat Yilmaz, Seref Sagiroglu
2007Web-based parallel corpora for statistical machine translation.
Bo Li, Juan Liu, Wenjuan Shi