Sixth International Conference on Machine Learning and Applications (ICMLA 2007)
Latest Publications

TOTAL DOCUMENTS

123

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H-INDEX

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Published By IEEE

9780769530697

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Estimating class probabilities in random forests

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.64 ◽

2007 ◽

Cited By ~ 16

Author(s):

Henrik Bostrom

Keyword(s):

Random Forests

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Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.116 ◽

2007 ◽

Author(s):

Professor Jacek M. Zurada

Keyword(s):

Neural Networks ◽

Complex Valued

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Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.67 ◽

2007 ◽

Cited By ~ 3

Author(s):

Michalis E. Blazadonakis ◽

Michalis Zervakis

Keyword(s):

Breast Cancer ◽

Breast Cancer Case ◽

Cancer Case ◽

Marker Selection ◽

Selection Tools

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A New Ant Evolution Algorithm to Resolve TSP Problem

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.18 ◽

2007 ◽

Cited By ~ 6

Author(s):

QingBao Zhu ◽

ShuYan Chen

Keyword(s):

Evolution Algorithm

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A hierarchical feature decomposition clustering algorithm for unsupervised classification of document image types

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.13 ◽

2007 ◽

Cited By ~ 2

Author(s):

Dean Curtis ◽

Vitaliy Kubushyn ◽

E.A. Yfantis ◽

Michael Rogers

Keyword(s):

Clustering Algorithm ◽

Unsupervised Classification ◽

Document Image

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Uncertainty optimization for robust dynamic optical flow estimation

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.15 ◽

2007 ◽

Cited By ~ 7

Author(s):

Volker Willert ◽

Marc Toussaint ◽

Julian Eggert ◽

Edgar Korner

Keyword(s):

Optical Flow ◽

Flow Estimation ◽

Optical Flow Estimation ◽

Uncertainty Optimization

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Supervised reinforcement learning using behavior models

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.14 ◽

2007 ◽

Author(s):

Victor Uc-Cetina

Keyword(s):

Reinforcement Learning ◽

Behavior Models

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Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.17 ◽

2007 ◽

Cited By ~ 1

Author(s):

Bobbie-Jo M. Webb-Robertson ◽

Christopher S. Oehmen ◽

William R. Cannon

Keyword(s):

Support Vector Machine ◽

Peptide Identification ◽

Shotgun Proteomics ◽

Support Vector ◽

Probability Models ◽

Support Vector Machine Classification

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Probabilistic Graphical Models-Theory, Algorithm, and Application

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.126 ◽

2007 ◽

Author(s):

Dr. Eric Xing

Keyword(s):

Graphical Models ◽

Probabilistic Graphical Models

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A simultaneous two-level clustering algorithm for automatic model selection

Sixth International Conference on Machine Learning and Applications (ICMLA 2007) ◽

10.1109/icmla.2007.71 ◽

2007 ◽

Cited By ~ 11

Author(s):

Guenael Cabanes ◽

Younes Bennani

Keyword(s):

Model Selection ◽

Clustering Algorithm ◽

Automatic Model Selection

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Sixth International Conference on Machine Learning and Applications (ICMLA 2007)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Estimating class probabilities in random forests

Neural Networks with Complex-Valued Neurons for Recurrent and Feedforward Architectures

Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study

A New Ant Evolution Algorithm to Resolve TSP Problem

A hierarchical feature decomposition clustering algorithm for unsupervised classification of document image types

Uncertainty optimization for robust dynamic optical flow estimation

Supervised reinforcement learning using behavior models

Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics

Probabilistic Graphical Models-Theory, Algorithm, and Application

A simultaneous two-level clustering algorithm for automatic model selection

Sixth International Conference on Machine Learning and Applications (ICMLA 2007)
Latest Publications