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This subject category contains 19 entries

Bao, Jie (2001) Potential Function Explain of the Quick Algorithm of Synergetic Neural Network. Technical Report, Computer Science, Iowa State University.

Bromberg, Facundo and Margaritis, Dimitris (2007) Improving the Reliability of Causal Discovery from Small Data Sets using the Argumentation Framework. Technical Report TR-ISU-CS-07-15, Computer Science, Iowa State University.

Caragea, Doina, Cook, Dianne and Honavar, Vasant (2005) Visual Methods for Examining Support Vector Machine Results, with Applications to Gene Expression Data Analysis. Technical Report, Computer Science, Iowa State University.

Caragea, Doina, Zhang , Jun, Pathak, Jyotishman and Honavar, Vasant (2005) Learning Classifiers from Distributed, Ontology-Extended Data Sources. Technical Report, Computer Science, Iowa State University.

El-Manzalawy, Yasser and Honavar, Vasant (2007) MICCLLR: A Generalized Multiple-Instance Learning Algorithm Using Class Conditional Log Likelihood Ratio. Technical Report 1, Computer Science, Iowa State University.

Kang, Dae-Ki, Doug, Fuller and Vasant, Honavar (2005) Learning Classifiers for Misuse and Anomaly Detection Using a Bag of System Calls Representation. Technical Report, Computer Science, Iowa State University.

Kang, Dae-Ki, Zhang, Jun, Silvescu, Adrian and Honavar, Vasant (2005) Multinomial Event Model Based Abstraction for Sequence and Text Classification. Technical Report, Department of Computer Science, Iowa State University.

Leiva, Hector, Atramentov, Anna and Honavar, Vasant (2002) Experiments with MRDTL -- A Multi-relational Decision Tree Learning Algorithm. Technical Report ISU-CS-TR 02-12, Computer Science, Iowa State University.

Margaritis, Dimitris (2004) Distribution-Free Learning of Graphical Model Structure in Continuous Domains. Technical Report TR-ISU-CS-04-06, Computer Science, Iowa State University.

Pandit, Sushain (2008) On a robust document classification approach using TF-IDF scheme with learned, context-sensitive semantics.. Technical Report TR10-04, Computer Science, Iowa State Universiity.

Tu, Kewei and Honavar, Vasant (2008) Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering (Extended Version). Technical Report, Computer Science, Iowa State University.

Tu, Kewei and Honavar, Vasant (2008) Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering (Extended Version). Technical Report 572, Computer Science, Iowa State University.

Tu, Kewei and Honavar, Vasant (2008) Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering (Extended Version). Technical Report 572, Computer Science, Iowa State University.

Tu, Kewei and Vasant, Honavar (2011) On the Utility of Curricula in Unsupervised Learning of Probabilistic Grammars (Supplementary Material).

Wang, Xiangyun, Schroeder, Diane, Dobbs, Drena and Honavar, Vasant (2002) AUTOMATED DATA-DRIVEN DISCOVERY OF MOTIF-BASED PROTEIN FUNCTION CLASSIFIERS.

Wu, Feihong (2005) Learning Hierarchical Classifiers with Class Taxonomies. Technical Report, Computer Science Department, Iowa State University.

Yan, Changhui, Honavar, Vasant and Dobbs, Drena (2002) Predicting Protein-Protein Interaction Sites From Amino Acid Sequence. Technical Report ISU-CS-TR 02-11, Department of Computer Science, Iowa State University.

Zhang, Jun and Honavar, Vasant (2004) Learning Na´ve Bayes Classifiers From Attribute Value Taxonomies and Partially Specified Data. Technical Report TR 04-03, Department of Computer Science, Iowa State University.

Zhang, Jun, Silvescu, Adrian and Honavar, Vasant (2002) Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. Technical Report ISU-CS-TR 02-13, Computer Science, Iowa State University.



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