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MLMTA 2007: Las Vegas, Nevada, USA
- Hamid R. Arabnia, Matthias Dehmer, Frank Emmert-Streib, Mary Qu Yang:
Proceedings of the 2007 International Conference on Machine Learning; Models, Technologies & Applications, MLMTA 2007, June 25-28, 2007, Las Vegas Nevada, USA. CSREA Press 2007, ISBN 1-60132-027-2
Unsupervised Learning - Clustering
- Kunal Punera, Joydeep Ghosh:
Consensus Based Ensembles of Soft Clusterings. MLMTA 2007: 3-9 - Matthias Dehmer, Frank Emmert-Streib, Andreas Zulauf:
A Graph Mining Technique for Automatic Classification of Web Genre Data. MLMTA 2007: 10-16
Supervised Learning - Classification
- Samual W. Rud, Nicholas St. Jacque, Aaron Vant, Jiann-Shiou Yang:
Detection of Heart Murmurs Using the Support Vector Machine Classification Method. MLMTA 2007: 17-23 - Seong Jin Cho, Uzair Ahmad, Andrey Gavrilov, Sungyoung Lee, Young-Koo Lee:
Application of Support Vector Machines on Signal Strength Based Localization in Wireless Networks. MLMTA 2007: 24-30 - Arun Rajendran, Peng Li, Chaoyang Zhang, Youping Deng:
Parallel Training of Multi-class Support Vector Machines Using Sequential Minimal Optimization. MLMTA 2007: 31-37 - Amin Shali, Behrouz Minaei-Bidgoli:
Heterogeneous Decision Tree Classifier System. MLMTA 2007: 38-44
Reinforcement Learning
- Le Tien Dung, Takashi Komeda, Motoki Takagi:
Reinforcement Learning for POMDP Using State Classification. MLMTA 2007: 45-51 - Malika Bourenane, Djilali Benhamamouch:
An Adaptive Packet Scheduling based on Reinforcement Learning. MLMTA 2007: 52-57 - Aekyung Moon, Hyoungsun Kim, Hyun Kim:
A Service Recommendation Scheme for Ubiquitous Network-based Robots. MLMTA 2007: 58-64
Application of Machine Learning Techniques in Computational Biology
- Amitava Karmaker, Mark Doderer, Stephen Harris, Stephen Kwek:
Discovery of Transcription Factors Using Protein Subcellular Localization Prediction and Gene Expression Profile Analysis. MLMTA 2007: 65-71 - Chun-Liang Lin, Don-Lin Yang, Hsin-Wei Lin, Wei-Cheng Liao:
Cluster Association Rules to Discover Regulatory Genes from Gene Expression Data. MLMTA 2007: 72-78 - Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou, Hao-Geng Hung, Chien-Yu Chen:
Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator. MLMTA 2007: 79-84 - Sergey V. Fogelson, Khaled Rasheed, Xiangxue Guo, Jan Mrázek:
Comparing Machine Learning Techniques in Predicting Translation Start Sites in Prokaryotic Genomes. MLMTA 2007: 85-89 - Emad A. El-Sebakhy, Kanaan A. Faisal:
Bacterial Growth Classification with Support Vector Machines: A Comparative Study. MLMTA 2007: 90-98
Predictive Methods and Time Series Analysis
- Russell Webb:
A Cascade Architecture for On-line Predictive Echo State Networks. MLMTA 2007: 99-104 - Agus Sudjianto, Fernando Cela-Díaz, Aijun Zhang, Ming Yuan:
Anomaly Detection in High-Dimensional Financial Databases. MLMTA 2007: 105-112
Knowledge Structures, Text Mining and Natural Language Processing
- Matthias Dehmer, Alexander Mehler, Frank Emmert-Streib:
Graph-theoretical Characterizations of Generalized Trees. MLMTA 2007: 113-117 - Faizan Javed, Marjan Mernik, Barrett R. Bryant, Alan P. Sprague:
GenInc: An Incremental Context-Free Grammar Learning Algorithm for Domain-Specific Language Development. MLMTA 2007: 118-124 - Yan Tian, Ruzhan Lu, Jianyong Duan:
Using Web and a Semantic Filter to Obtain Chinese Multiword Units. MLMTA 2007: 125-130 - Ramalatha Marimuthu, S. Kumaravel, Durai Sridharan, Veeraraghavan Sampath Kumar:
A Novel Area and Time Efficient Squarer Using Vedic Mathematics for Coprocessor Applications. MLMTA 2007: 131-138
Monte Carlo and Bayes Methods
- Russell Webb, Peter Smith:
A Population Monte Carlo Method for Generating Random Matrices with Known Characteristics. MLMTA 2007: 139-145 - Mohammadreza Vasili, Sai Hong Tang, Seyed Mahdi Homayouni, Napsiah Ismail, Megat Mohamad Hamdan Ahmad Megat, Razali Samin:
Development of Statistical Travel Time Model for SP-AS/RS with A New Configuration Alternative. MLMTA 2007: 146-152 - Jesse T. Quatse, Amir Najmi:
Empirical Bayesian Targeting. MLMTA 2007: 153-162
Probabilistic Models
- Andras Farago:
Learning Path Metrics from Observed Choices. MLMTA 2007: 163-169 - Yan Liu, John R. Kender:
Statistical Validation for Automatic Feature Selection Algorithms in Video Applications. MLMTA 2007: 170-176 - Takeshi Matsuda, Sumio Watanabe:
The Calculation Method of Learning Coefficients by Weighted Resolution of Singularities. MLMTA 2007: 177-181 - Randa Khaldi, Saleh M. Abu-Soud:
Inconsistency Management in Software Functional Requirements: A Machine Learning System. MLMTA 2007: 182-189 - Xiaoping Shen, Haibo He:
A Multiscale Probability Model for Intrusion Detection Systems. MLMTA 2007: 190-198
Fuzzy Methods
- Al Cripps, Nghiep Nguyen:
Fuzzy Lattice Reasoning with Delta Measures. MLMTA 2007: 199-205 - Muhammad Adil:
Analysis of Fuzzy Error Back-propagation Algorithm. MLMTA 2007: 206-214
The International Workshop on Intelligent Linguistic Technologies (ILINTEC'07)
- Juan Bekios, Igor Boguslavsky, Jesús Cardeñosa Lera, Carolina Gallardo:
Automatic Construction of an Interlingual Dictionary for Multilingual Lexicography. MLMTA 2007: 215-220 - Philip Bralich:
Question and Answer Repartee and the Natural Language Querying of Databases. MLMTA 2007: 221-225 - Meena Jagadesan, Vidhya V., L. Ganesan:
Audio-Visual Based Speech Recognition. MLMTA 2007: 226-230 - Osamuyimen Stewart:
A Lexical Category Analysis of Spoken Natural Language Dialog Systems. MLMTA 2007: 231-237 - Elena B. Kozerenko:
INTERTEXT: A Multilingual Knowledge Base for Machine Translation. MLMTA 2007: 238-243 - R. M. K. Sinha:
Designing Multi-lingual Machine-Translation System: Some Perspectives. MLMTA 2007: 244-249 - Igor P. Kuznetsov, Elena B. Kozerenko, Andrew Matskevich:
Linguistic and Algorithmic Aspects of Object Extraction from Natural Language Texts. MLMTA 2007: 250-258
Late Papers
- Mark Doderer, Kihoon Yoon, Stephen Kwek:
Species Independent Protein Localization Prediction for Multi-compartmentalized Proteins. MLMTA 2007: 259-266 - Taeho Jo, Malrey Lee, Thomas M. Gatton:
Inverted Index based Operation on String Vector for K Means Algorithm in Text Clustering. MLMTA 2007: 267-271 - Shawkat Ali, Tony Dobele:
Optimal Classifier Selection for Adaptive Boosting Algorithm. MLMTA 2007: 272-276 - Dalila Megherbi, Hani Al-Dayaa:
A Lyapunov-Stability-Based System Hardware Architecture for a Real-Time Multiple-Look-Ahead-Levels Reinforcement Learning. MLMTA 2007: 277-283 - Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-Koo Lee, Sungyoung Lee:
A Novel Hybrid Neural Network for Data Clustering. MLMTA 2007: 284-288 - Sridhar Narayan, Gene A. Tagliarini:
Hopfield Networks To Solve Sudoku Puzzles. MLMTA 2007: 289-293 - Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. Chen, Brian D. Marx:
Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k. MLMTA 2007: 294-
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