Ratthachat Chatpatanasiri

According to our database, Ratthachat Chatpatanasiri authored at least 13 papers between 2003 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2017

Value at risk estimation under stochastic volatility models using adaptive PMCMC methods.

Xinxia Yang, Ratthachat Chatpatanasiri, Pairote Sattayatham

Commun. Stat. Simul. Comput., 2017

GARCH-type forecasting models for volatility of stock market and MCS test.

Lingling Luo, Pairote Sattayatham, Ratthachat Chatpatanasiri

Commun. Stat. Simul. Comput., 2017

Stock Trading Using PE ratio: A Dynamic Bayesian Network Modeling on Behavioral Finance and Fundamental Investment.

Haizhen Wang, Ratthachat Chatpatanasiri, Pairote Sattayatham

CoRR, 2017

2010

A new kernelization framework for Mahalanobis distance learning algorithms.

Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan, Boonserm Kijsirikul

Neurocomputing, 2010

A unified semi-supervised dimensionality reduction framework for manifold learning.

Ratthachat Chatpatanasiri, Boonserm Kijsirikul

Neurocomputing, 2010

2009

Demand-Supply Optimization with Risk Management for a Multi-Connection Water Reservoir Network

Ratthachat Chatpatanasiri, Thavivongse Sriburi

CoRR, 2009

Zone analysis: a visualization framework for classification problems.

Ratthachat Chatpatanasiri, Prasertsak Pungprasertying, Boonserm Kijsirikul

Artif. Intell. Rev., 2009

How to sample from a truncated distribution if you must.

Ratthachat Chatpatanasiri

Artif. Intell. Rev., 2009

2008

On Kernelization of Supervised Mahalanobis Distance Learners

Ratthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan, Boonserm Kijsirikul

CoRR, 2008

Spectral Methods for Linear and Non-Linear Semi-Supervised Dimensionality Reduction

Ratthachat Chatpatanasiri

CoRR, 2008

2006

Migration Analysis: An Alternative Approach for Analyzing Learning Performance.

Prasertsak Pungprasertying, Ratthachat Chatpatanasiri, Boonserm Kijsirikul

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2003

Upgrading ILP Rules to First-Order Bayesian Networks.

Ratthachat Chatpatanasiri, Boonserm Kijsirikul

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Learning First-Order Bayesian Networks.

Ratthachat Chatpatanasiri, Boonserm Kijsirikul

Proceedings of the Advances in Artificial Intelligence, 2003