Jörg Kindermann

发表

A topic which is relevant in particular for Lexical Functional Grammar (LFG) is the treatment of unification of functional structures in the parser.

Jörg Kindermann, Justus Meier, 1986 .

Bayesian Query Construction for Neural Network Models

Gerhard Paass, Jörg Kindermann, J. Kindermann, 1994, NIPS.

Model Switching for Bayesian Classification Trees with Soft Splits

Gerhard Paass, Jörg Kindermann, J. Kindermann, 1998, PKDD.

Bayesian Classification Trees with Overlapping Leaves Applied to Credit-Scoring

Gerhard Paass, Jörg Kindermann, 1998, PAKDD.

Inversion of neural networks by gradient descent

Alexander Linden, Jörg Kindermann, A. Linden, 1990, Parallel Comput..

Text Categorization with Support Vector Machines. How to Represent Texts in Input Space?

Jörg Kindermann, Edda Leopold, J. Kindermann, 2002, Machine Learning.

Experten parsing: parsing u. Wissensrepräsentation im texttheoret. Rahmen

Jörg Kindermann, 1987 .

Learning Prototype Ontologies by Hierachical Latent Semantic Analysis

Gerhard Paass, Jörg Kindermann, Edda Leopold, 2004, LWA.

Content Classification of Multimedia Documents using Partitions of Low-Level Features

Jörg Kindermann, Edda Leopold, 2006, J. Virtual Real. Broadcast..

Detection of Minimal Microfeatures by Internal Feedback

Alexander Linden, Jörg Kindermann, 1989, ÖGAI.

Exploring sub-word features and linear support vector machines for German spoken document classification

Martha Larson, Gerhard Paass, Stefan Eickeler, 2002, INTERSPEECH.

Grid-enabling data mining applications with DataMiningGrid: An architectural perspective

Vlado Stankovski, Werner Dubitzky, Thomas Niessen, 2008, Future Gener. Comput. Syst..

Experten-Parsing : Parsing und Wissensrepräsentation im texttheoretischen Rahmen

Jörg Kindermann, 1987 .

Error Correcting Codes with Optimized Kullback-Leibler Distances for Text Categorization

Gerhard Paass, Jörg Kindermann, Edda Leopold, 2001, PKDD.

Analysis of E-Discussions Using Classifier Induced Semantic Spaces

Gerhard Paass, Jörg Kindermann, Edda Leopold, 2007, LDV Forum.

Multistep sequential exploration of growing Bayesian classification models

Gerhard Paass, Jörg Kindermann, J. Kindermann, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Transparency and Predictive Power

Gerhard Paass, Jörg Kindermann, J. Kindermann, 2000 .

Klassifikation mit Populationen von heterogenen Modellen

Gerhard Paass, Jörg Kindermann, 1998, Künstliche Intell..

Text Classification of News Articles with Support Vector Machines

Jörg Kindermann, Edda Leopold, Gerhard Paaß, 2004 .

An Efficient Parser for Lexical Functional grammar

Jörg Kindermann, Justus Meier, 1986, GWAI.

Classification of Texts with Support Vector Machines: An Examination of the Efficiency of Kernels and Data-transformations

Jörg Kindermann, Edda Leopold, 2002 .

Generierung mit Lexical - Functional Grammar (LFG)

Jörg Kindermann, Justus Meier, Justus Meier, 1986, GWAI.

An Extension of LR-Parsing for Lexical Functional Grammar

Jörg Kindermann, Justus Meier, 1988 .

SVM Classification Using Sequences of Phonemes and Syllables

Martha Larson, Gerhard Paass, Stefan Eickeler, 2002, PKDD.

Bayesian regression mixtures of experts for geo-referenced data

Gerhard Paass, Jörg Kindermann, J. Kindermann, 2003, Intell. Data Anal..

The Dicode Data Mining Services

Stefan Rüping, Natalja Friesen, Axel Poigné, 2014 .

Data Mining in Data-Intensive and Cognitively-Complex Settings: Lessons Learned from the Dicode Project

Stefan Rüping, Natalja Friesen, Jörg Kindermann, 2014 .