Xue-wen Chen, Tharam S. Dillon, Hisao Ishbuchi, Jian Pei, Haixun Wang, M. Arif Wani (Eds.):
10th International Conference on Machine Learning and Applications and Workshops, ICMLA 2011, Honolulu, Hawaii, USA, December 18-21, 2011. Volume 1: Main Conference.
IEEE Computer Society 2011
Honolulu, Hawaii, USA
: Using SVD for Segmentation and Classification of Human Hand Actions.
: A Model of Joint Learning in Poverty: Coordination and Recommendation Systems in Low-Income Communities.
, Shibin Parameswaran
: Machine Learning for Author Affiliation within Web Forums - Using Statistical Techniques on NLP Features for Online Group Identification.
, José Iria
: L1 vs. L2 Regularization in Text Classification when Learning from Labeled Features.
: Incremental Compressive Pattern Classification.
Evolution/Iterative Methods and Clustering
Mae L. Seto
: On-line Learning with Evolutionary Algorithms towards Adaptation of Underwater Vehicle Missions to Dynamic Ocean Environments.
: Solving the Traveling Salesman Problem through Iterative Extended Changing Crossover Operators.
: Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression.
Neuro-networks and Non-parametric Methods
: Robust Training of Multilayer Neural Networks Using Parameterized Online Quasi-Newton Algorithm.
: Deep Transfer Learning via Restricted Boltzmann Machine for Document Classification.
SVN and Meta-learning
M. Arif Wani
: Microarray Classification Using Sub-space Grids.
: A Pattern Classifying System Based on the Coverage Regions of Objects.
Sofus A. Macskassy
: Relational Classifiers in a Non-relational World: Using Homophily to Create Relations.
Hsiang Hui Lek
, Danny C. C. Poo
: An Experimental Study to Investigate the Use of Additional Classifiers to Improve Information Extraction Accuracy.
Reinforcement Learning and Hidden Variables
: Augmented Reinforcement Learning for Interaction with Non-expert Humans in Agent Domains.
, Reid Simmons
: Smartphone Interruptibility Using Density-Weighted Uncertainty Sampling with Reinforcement Learning.
, Tim Oates
: Improving the Discovery and Characterization of Hidden Variables by Regularizing the LO-net.