Hamparsum Bozdogan

发表

A New Supervised Classification of Credit Approval Data via the Hybridized RBF Neural Network Model Using Information Complexity

Oguz Akbilgic, Hamparsum Bozdogan, H. Bozdogan, 2013, ECDA.

Statistical Data Mining and Knowledge Discovery

Hamparsum Bozdogan, H. Bozdogan, 2004 .

Improving the Performance of Radial Basis Function (RBF) Classification Using Information Criteria

Hamparsum Bozdogan, Zhenqiu Liu, 2003 .

RBF neural networks for classification using new kernel functions

Hamparsum Bozdogan, Zhenqiu Liu, 2003, Neural Parallel Sci. Comput..

On handling uncertainty in the fundamental matrix for scene and motion adaptive pose recovery

Mongi A. Abidi, Andreas F. Koschan, David L. Page, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Misspecification Resistant Model Selection Using Information Complexity with Applications

Hamparsum Bozdogan, Suman Katragadda, Caterina Liberati, 2013, Classification and Data Mining.

Hybridized Support Vector Machine and Recursive Feature Elimination with Information Complexity

Seung Hyun Baek, Hamparsum Bozdogan, H. Bozdogan, 2018, Statistics, Optimization & Information Computing.

Statistical Modeling and Data Mining to Identify Consumer Preferences Francois Boussu1 and Jean Jacques Denimal2 1Ecole Nationale Superieure des Arts et Industries Textiles, Roubaix, and 2University of Sciences and Technologies of Lille, France

Hamparsum Bozdogan, 2003 .

Model selection in multivariate adaptive regression splines (MARS) using information complexity as the fitness function

Elçin Kartal-Koç, Hamparsum Bozdogan, H. Bozdogan, 2014, Machine Learning.

Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An Informational Approach : Volume 2 Multivariate Statistical Modeling

Genshiro Kitagawa, Stanley L. Sclove, Dominique Haughton, 1994 .

Hybrid kernel density estimation for discriminant analysis with information complexity and genetic algorithm

Dong Ho Park, Hamparsum Bozdogan, Seung H. Baek, 2016, Knowl. Based Syst..

MuFeSaC: Learning When to Use Which Feature Detector

Mongi A. Abidi, Andreas F. Koschan, David L. Page, 2007, 2007 IEEE International Conference on Image Processing.

Learning structurally discriminant features in 3D faces

Mongi A. Abidi, Andreas F. Koschan, David L. Page, 2008, 2008 15th IEEE International Conference on Image Processing.

A novel Hybrid RBF Neural Networks model as a forecaster

Oguz Akbilgic, Hamparsum Bozdogan, M. Erdal Balaban, 2013, Statistics and Computing.

A Novel Hybrid Dimension Reduction Technique for Undersized High Dimensional Gene Expression Data Sets Using Information Complexity Criterion for Cancer Classification

Sinan Çalik, Hamparsum Bozdogan, Esra Pamukçu, 2015, Comput. Math. Methods Medicine.

Social network analysis of scientific collaborations across different subject fields

Oguz Akbilgic, Hamparsum Bozdogan, H. Bozdogan, 2013, Inf. Serv. Use.

How is driving volatility related to intersection safety? A Bayesian heterogeneity-based analysis of instrumented vehicles data

Asad J. Khattak, Behram Wali, Hamparsum Bozdogan, 2018, Transportation Research Part C: Emerging Technologies.

Uncertainty minimization in multi-sensor localization systems using model selection theory

Mongi A. Abidi, Andreas F. Koschan, David L. Page, 2008, 2008 19th International Conference on Pattern Recognition.

Intelligent data mining using kernel functions and information criteria

Hamparsum Bozdogan, Zhenqiu Liu, 2002 .

Engineering and scientific applications

Stanley L. Sclove, Hamparsum Bozdogan, 1994 .

The Semantic Conference Organizer

Jack Dongarra, Sathish S. Vadhiyar, Michael W. Berry, 2003 .

Mixture-Model Cluster Analysis Using Model Selection Criteria and a New Informational Measure of Complexity

Hamparsum Bozdogan, H. Bozdogan, 1994 .

A NEW GENERATION MIXTURE - MODEL CLUSTER ANALYSIS USING INFORMATION COMPLEXITY AND GENETIC ALGORITHMS

Hamparsum Bozdogan, 2006 .

Multivariate Regressions, Genetic Algorithms, and Information Complexity: A Three Way Hybrid

Hamparsum Bozdogan, Peter Bearse, 2002 .

Measurement and Multivariate Analysis

Hamparsum Bozdogan, Shizuhiko Nishisato, Yasumasa Baba, 2014 .

Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization

Mongi A. Abidi, Andreas F. Koschan, David L. Page, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Learning Factor Patterns in Exploratory Factor Analysis Using the Genetic Algorithm and Information Complexity as the Fitness Function

Hamparsum Bozdogan, Hongwei Yang, H. Bozdogan, 2011 .

Intelligent Statistical Data Mining with Information Complexity and Genetic Algorithms

Hamparsum Bozdogan, H. Bozdogan, 2004 .

Data Adaptive Simultaneous Parameter and Kernel Selection in Kernel Discriminant Analysis Using Information Complexity

Hamparsum Bozdogan, Caterina Liberati, J. Andrew Howe, 2009 .

Robust model selection in linear regression models using information complexity

Hamparsum Bozdogan, Olcay Arslan, Yeşim Güney, 2021, J. Comput. Appl. Math..

Theory and methodology of time series analysis

Stanley L. Sclove, Hamparsum Bozdogan, H. Bozdogan, 1994 .

Subset selection in vector autoregressive models using the genetic algorithm with informational complexity as the fitness function

Hamparsum Bozdogan, Peter Bearse, H. Bozdogan, 1998 .

FACAIC: Model selection algorithm for the orthogonal factor model using AIC and CAIC

Donald E. Ramirez, Hamparsum Bozdogan, 1988 .

Multivariate Statistical Modeling and Data Analysis.

Joseph S. Verducci, Hamparsum Bozdogan, Arjun K. Gupta, 1988 .

Information complexity-based regularization parameter selection for solution of ill conditioned inverse problems

Andrei V. Gribok, Robert E. Uhrig, Aleksey M. Urmanov, 2002 .

MULTI-SAMPLE CLUSTER ANALYSIS AS AN ALTERNATIVE TO MULTIPLE COMPARISON PROCEDURES

Hamparsum Bozdogan, H. Bozdogan, 1986 .

Regularized Kernel Discriminant Analysis with Optimally Scaled Data

Hamparsum Bozdogan, Halima Bensmail, H. Bozdogan, 2002 .

Correction to “Multi-sample cluster analysis using Akaike's information criterion”

Stanley L. Sclove, Hamparsum Bozdogan, 1984 .

Multivariate statistical modeling

Stanley L. Sclove, Hamparsum Bozdogan, 1994 .

MULTI-SAMPLE CLUSTER ANALYSIS AND APPROACHES TO VALIDITY STUDIES IN CLUSTERING INDIVIDUALS.

Hamparsum Bozdogan, 1981 .

Information complexity criteria for detecting influential observations in dynamic multivariate linear models using the genetic algorithm

Hamparsum Bozdogan, Peter Bearse, H. Bozdogan, 2003 .

Inference Problems With Equivalent Models

Hamparsum Bozdogan, Lynda Aiman-Smith, Larry J. Williams, 1996 .

Computational subset model selection algorithms and applications

Hamparsum Bozdogan, H. Bozdogan, Xinli Bao, 2004 .

Misspecified Multivariate Regression Models Using the Genetic Algorithm and Information Complexity as the Fitness Function

Hamparsum Bozdogan, J. Andrew Howe, H. Bozdogan, 2012 .

Empirical Econometric Modelling of Food Consumption Using a New Informational Complexity Approach

Hamparsum Bozdogan, Peter Bearse, Alan M. Schlottmann, 1997 .

Aic-Replacements for Some Multivariate Tests of Homogeneity with Applications in Multisample Clustering and Variable Selection

Stanley L. Sclove, Hamparsum Bozdogan, Arjun K. Gupta, 1994 .