Classification and Feature Selection for Craniosynostosis Shulin Yang, Linda G. Shapiro, Michael L. Cunningham, Matthew Speltz, Su-In Lee University of.
1 Bayesian Decision Theory Shyh-Kang Jeng Department of Electrical Engineering/ Graduate Institute of Communication/ Graduate Institute of Networking and.
The Center for Signal & Image Processing Georgia Institute of Technology Kernel-Based Detectors and Fusion of Phonological Attributes Brett Matthews Mark.
LS-SVMlab & Large scale modeling Kristiaan Pelckmans, ESAT- SCD/SISTA J.A.K. Suykens, B. De Moor.
January, 2009 Jaime Carbonell et al Carnegie Mellon University [email protected] Data-Intensive Scalability in Machine Learning and Computational Proteomics.
Reinforcement Learning Mitchell, Ch. 13 (see also Barto & Sutton book on-line)
The Emergence of Interactive Meaning Processes in Autonomous Systems Argyris Arnellos, Thomas Spyrou, John Darzentas University of the Aegean Dept of Product.
A decision-theoretic view of image retrieval
Revisiting Defenses Against Large Scale Online Password Guessing Attacks
ISAN-DSP GROUP Artificial Neural Networks Basic Theory and Research Activity in KKU Dr. Nawapak Eua-anant Department of Computer Engineering Khon Kaen.
INTRODUCTION TO ARTIFICIAL INTELLIGENCE Massimo Poesio LECTURE: Support Vector Machines.
Support Vector Machine With Adaptive Parameters in Financial Time Series Forecasting by L. J. Cao and Francis E. H. Tay IEEE Transactions On Neural Networks,
