Gerhard Paass - researchr alias

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Viewing Publication 1 - 36 from 36

2011

Future trends in business analytics and optimizationDonald E. Brown, Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn C. Thomas, Richard Weber, Ricardo A. Baeza-Yates, Cristián Bravo, Gaston L'Huillier, Sebastián Maldonado. ida, 15(6):1001-1017, 2011. [doi]

2010

Semantic relation extraction with kernels over typed dependency treesFrank Reichartz, Hannes Korte, Gerhard Paass. kdd 2010: 773-782 [doi]

2009

2008

2005

A Brief Survey of Text MiningAndreas Hotho, Andreas Nürnberger, Gerhard Paass. ldvf, 20(1):19-62, 2005. [doi]

2003

Authorship Attribution with Support Vector MachinesJoachim Diederich, Jörg Kindermann, Edda Leopold, Gerhard Paass. apin, 19(1-2):109-123, 2003.

Bayesian regression mixtures of experts for geo-referenced dataGerhard Paass, Jörg Kindermann. ida, 7(6):567-582, 2003. [doi]

2002

SVM Classification Using Sequences of Phonemes and SyllablesGerhard Paass, Edda Leopold, Martha Larson, Jörg Kindermann, Stefan Eickeler. pkdd 2002: 373-384 [doi]

2001

Error Correcting Codes with Optimized Kullback-Leibler Distances for Text CategorizationJörg Kindermann, Gerhard Paass, Edda Leopold. pkdd 2001: 266-276 [doi]

2000

Transparency and Predicive Power: Explaining Complex Classification ModelsGerhard Paass, Jörg Kindermann. pkdd 2000: 558-565 [doi]

Multistep Sequential Exploration of Growing Bayesian Classification ModelsGerhard Paass, Jörg Kindermann. ijcnn 2000: 566-574 [doi]

Convergence properties of incremental Bayesian evolutionary algorithms with single Markov chainsByoung-Tak Zhang, Gerhard Paass, Heinz Mühlenbein. cec 2000: 938-945 [doi]

1998

Model Switching for Bayesian Classification Trees with Soft SplitsJörg Kindermann, Gerhard Paass. pkdd 1998: 148-157

Bayesian Classification Trees with Overlapping Leaves Applied to Credit-ScoringGerhard Paass, Jörg Kindermann. pakdd 1998: 234-245

Klassifikation mit Populationen von heterogenen ModellenGerhard Paass, Jörg Kindermann. ki, 12(2):56-65, 1998.

1996

From Recombination of Genes to the Estimation of Distributions I. Binary ParametersHeinz Mühlenbein, Gerhard Paass. ppsn 1996: 178-187

1995

Estimating Blue-Green Algae Counts with Neurocomputing TechniquesJoachim Diederich, Don Simonetta, Gerhard Paass. ieaaie 1995: 127-131 [doi]

1994

Künstliche Neuronale Netze: eine BestandsaufnahmeKnut Möller, Gerhard Paass. ki, 8(4):37-61, 1994.

Bayesian Query Construction for Neural Network ModelsGerhard Paass, Jörg Kindermann. nips 1995: 443-450 [doi]

1993

Bericht von der Konferenz Neural Information Processing Szstems - Natural and Synthetic (NIPS) 1992Alexander Linden, Gerhard Paass. ki, 7(3):26-29, 1993.

Wissensverarbeitung mit neuronalen NetzenGerhard Paass, Franz J. Kurfess. ki 1993: 217-225

1992

European Conference on Symbolic and Quantitative Approaches for UncertaintyJochen Heinsohn, Gerhard Paass. ki, 6(2):42, 1992.

Assessing and Improving Neural Network Predictions by the Bootstrap AlgorithmGerhard Paass. nips 1993: 196-203 [doi]

MESA: Maximum Entropy by Simulated AnnealingGerhard Paass. uai 1992: 230-237 [doi]

1991

Probabilistic Default Reasoning Involving Continous VariablesGerhard Paass. ecsqaru 1991: 267-271

Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning AlgorithmGerhard Paass. uai 1991: 264-270 [doi]

1990

Probabilistic Default ReasoningGerhard Paass. ipmu 1991: 76-85

A Stochastic EM Learning Algorithm for Structured Probabilistic Neural NetworksGerhard Paass. ogai 1990: 196-201

Second order probabilities for uncertain and conflicting evidenceGerhard Paass. uai 1991: 447-456 [doi]

1989

Bayesian Integration of Uncertain and Conflicting EvidenceGerhard Paass. ki 1989: 421-427

1985

Anonymität von Individualdaten in statistischen DatenbankenGerhard Paass. datenschutz 1985: 156-170

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