Sylvian R. Ray

发表

Cumulative Learning Using Functionally Similar States

M. M. Hassan Mahmud, Sylvian R. Ray, S. Ray, 2005 .

Discovering audio-visual associations in narrated videos of human activities

Sylvian R. Ray, Tuna Oezer, S. Ray, 2008 .

General neural computer architecture and its ANN-based task assignment method for parallel-distributed processing

Nanning Zheng, Sylvian R. Ray, Hu Chao, 1995, Defense, Security, and Sensing.

Pattern recognition in signals through rough concept bounding

Sylvian R. Ray, Tun Aung Gyaw, 1998 .

A Temporal Sequence Processor Based on the Biological Reaction-diffusion Process

Sylvian R. Ray, Hillol Kargupta, S. Ray, 1993, Complex Syst..

Methods for Cluster Analysis and Validation in Microarray Gene Expression Data

Sylvian R. Ray, Alexander Kosorukoff, S. Ray, 2006 .

A Multistrategy Approach to Classifier Learning from Time Series

David C. Wilkins, Sylvian R. Ray, William H. Hsu, 2004, Machine Learning.

Symbol Grounding Through Cumulative Learning

Les Gasser, Samarth Swarup, Sylvian R. Ray, 2006, EELC.

A self-aiming camera based on neurophysical principles

Thomas J. Anastasio, Samarth Swarup, Sylvian R. Ray, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Cross-Domain Knowledge Transfer Using Structured Representations

Samarth Swarup, Sylvian R. Ray, S. Swarup, 2006, AAAI.

Time series learning with probabilistic network composites

Sylvian R. Ray, William H. Hsu, S. Ray, 1998 .

An Anticipatory Self-Organized Map for Robust Recognition

Samarth Swarup, Sylvian R. Ray, Alexandre Klementiev, 2005, Artificial Intelligence and Applications.

A new scheme for extracting multi-temporal sequence patterns

Sylvian R. Ray, Thomas Huang, Pengyu Hong, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Prospects and problems in designing image oriented information systems

Sylvian R. Ray, 1967 .

Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences

Sylvian R. Ray, William H. Hsu, 1998, Intell. Data Anal..

Rule Refinement Using the Probabilistic Rule Generator

Sylvian R. Ray, Won D. Lee, S. Ray, 1986, AAAI.

Cumulative Learning: Towards Designing Cognitive Architectures for Artificial Agents that Have a Lifetime

Samarth Swarup, M. M. Hassan Mahmud, Sylvian R. Ray, 2005 .

Artificial Language Evolution on a Dynamical Interaction Network

Samarth Swarup, Sylvian R. Ray, S. Swarup, 2007 .

Texture segmentation using joint time frequency representation and unsupervised classifier

Nanning Zheng, Sylvian R. Ray, Hu Chao, 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

Model of spatial frequency column in primary vision system

Nanning Zheng, Sylvian R. Ray, Hu Chao, 1995, Defense, Security, and Sensing.

Construction of recurrent mixture models for time series classification

Sylvian R. Ray, William H. Hsu, S. Ray, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Quantitative Model Selection for Heterogeneous Time Series Learning

Sylvian R. Ray, William H. Hsu, S. Ray, 1998 .

Transfer Learning using Kolmogorov Complexity: Basic Theory and Empirical Evaluations

M. M. Hassan Mahmud, Sylvian R. Ray, S. Ray, 2007, NIPS.

Probabilistic interference for variable certainty decisions (abstract)

Sylvian R. Ray, Won D. Lee, 1986, CSC '86.

An approach to artificial nonsymbolic cognition

Franco P. Preparata, Sylvian R. Ray, F. Preparata, 1972, Inf. Sci..

Probabilistic rule generator

Sylvian R. Ray, Won D. Lee, 1986, CSC '86.

A New Mixture Model for Concept Learning From Time Series

Sylvian R. Ray, William H. Hsu, 1998 .