Ratthachat Chatpatanasiri - researchr alias

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Viewing Publication 1 - 9 from 9

2017

GARCH-type forecasting models for volatility of stock market and MCS testLingling Luo, Pairote Sattayatham, Ratthachat Chatpatanasiri. cssc, 46(7):5303-5312, 2017. [doi]

Value at risk estimation under stochastic volatility models using adaptive PMCMC methodsXinxia Yang, Ratthachat Chatpatanasiri, Pairote Sattayatham. cssc, 46(9):7221-7237, 2017. [doi]

2010

A unified semi-supervised dimensionality reduction framework for manifold learningRatthachat Chatpatanasiri, Boonserm Kijsirikul. ijon, 73(10-12):1631-1640, 2010. [doi]

A new kernelization framework for Mahalanobis distance learning algorithmsRatthachat Chatpatanasiri, Teesid Korsrilabutr, Pasakorn Tangchanachaianan, Boonserm Kijsirikul. ijon, 73(10-12):1570-1579, 2010. [doi]

2009

How to sample from a truncated distribution if you mustRatthachat Chatpatanasiri. air, 31(1-4):1-15, 2009. [doi]

Zone analysis: a visualization framework for classification problemsRatthachat Chatpatanasiri, Prasertsak Pungprasertying, Boonserm Kijsirikul. air, 31(1-4):17-34, 2009. [doi]

2006

Migration Analysis: An Alternative Approach for Analyzing Learning PerformancePrasertsak Pungprasertying, Ratthachat Chatpatanasiri, Boonserm Kijsirikul. icpr 2006: 837-840 [doi]

2003

Learning First-Order Bayesian NetworksRatthachat Chatpatanasiri, Boonserm Kijsirikul. ai 2003: 313-328 [doi]

Upgrading ILP Rules to First-Order Bayesian NetworksRatthachat Chatpatanasiri, Boonserm Kijsirikul. pakdd 2003: 595-601 [doi]

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