MLMTA 2007:
Las Vegas,
Nevada,
USA
Hamid R. Arabnia, Matthias Dehmer, Frank Emmert-Streib, Mary Qu Yang (Eds.):
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
Supervised Learning - Classification
- Samuel Rud, Nicholas St. Jacque, Aaron Vant, Jiann-Shiou Yang:
Detection of Heart Murmurs Using the Support Vector Machine Classification Method.
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.
24-30
- Arun Rajendran, Peng Li, Chaoyang Zhang, Youping Deng:
Parallel Training of Multi-class Support Vector Machines Using Sequential Minimal Optimization.
31-37
- Amin Shali, Behrouz Minaei-Bidgoli:
Heterogeneous Decision Tree Classifier System.
38-44
Reinforcement Learning
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.
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.
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.
79-84
- Sergey V. Fogelson, Khaled Rasheed, Xiangxue Guo, Jan Mrázek:
Comparing Machine Learning Techniques in Predicting Translation Start Sites in Prokaryotic Genomes.
85-89
- Emad A. El-Sebakhy, Kanaan A. Faisal:
Bacterial Growth Classification with Support Vector Machines: A Comparative Study.
90-98
Predictive Methods and Time Series Analysis
Knowledge Structures,
Text Mining and Natural Language Processing
- Matthias Dehmer, Alexander Mehler, Frank Emmert-Streib:
Graph-theoretical Characterizations of Generalized Trees.
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.
118-124
- Yan Tian, Ruzhan Lu, Jianyong Duan:
Using Web and a Semantic Filter to Obtain Chinese Multiword Units.
125-130
- Marimuthu Ramalatha, S. Kumaravel, Durai Sridharan, Veeraraghavan Sampath Kumar:
A Novel Area and Time Efficient Squarer Using Vedic Mathematics for Coprocessor Applications.
131-138
Monte Carlo and Bayes Methods
Probabilistic Models
Fuzzy Methods
The International Workshop on Intelligent Linguistic Technologies (ILINTEC'07)
Late Papers
- Mark Doderer, Kihoon Yoon, Stephen Kwek:
Species Independent Protein Localization Prediction for Multi-compartmentalized Proteins.
259-266
- Taeho Jo, Malrey Lee, Thomas M. Gatton:
Inverted Index based Operation on String Vector for K Means Algorithm in Text Clustering.
267-271
- Shawkat Ali, Tony Dobele:
Optimal Classifier Selection for Adaptive Boosting Algorithm.
272-276
- Dalila Megherbi, Hani Al-Dayaa:
A Lyapunov-Stability-Based System Hardware Architecture for a Real-Time Multiple-Look-Ahead-Levels Reinforcement Learning.
277-283
- Donghai Guan, Andrey Gavrilov, Weiwei Yuan, Young-Koo Lee, Sungyoung Lee:
A Novel Hybrid Neural Network for Data Clustering.
284-288
- Sridhar Narayan, Gene A. Tagliarini:
Hopfield Networks To Solve Sudoku Puzzles.
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.
294-
Copyright © Mon Mar 15 03:47:14 2010
by Michael Ley (ley@uni-trier.de)
