Search Results for author: Arnim Bleier

Found 7 papers, 0 papers with code

PADME-SoSci: A Platform for Analytics and Distributed Machine Learning for the Social Sciences

no code implementations27 Mar 2023 Zeyd Boukhers, Arnim Bleier, Yeliz Ucer Yediel, Mio Hienstorfer-Heitmann, Mehrshad Jaberansary, Adamantios Koumpis, Oya Beyan

PADME uses a federated approach where the model is implemented and deployed by all parties and visits each data location incrementally for training.

De-identification

iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data

no code implementations LREC 2018 Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier

The iLCM project pursues the development of an integrated research environment for the analysis of structured and unstructured data in a "Software as a Service" architecture (SaaS).

Truncation-free Hybrid Inference for DPMM

no code implementations13 Jan 2017 Arnim Bleier

Dirichlet process mixture models (DPMM) are a cornerstone of Bayesian non-parametrics.

Variational Inference

A System for Probabilistic Linking of Thesauri and Classification Systems

no code implementations21 Mar 2016 Lisa Posch, Philipp Schaer, Arnim Bleier, Markus Strohmaier

This paper presents a system which creates and visualizes probabilistic semantic links between concepts in a thesaurus and classes in a classification system.

Classification General Classification

The Polylingual Labeled Topic Model

no code implementations24 Jul 2015 Lisa Posch, Arnim Bleier, Philipp Schaer, Markus Strohmaier

In this paper, we present the Polylingual Labeled Topic Model, a model which combines the characteristics of the existing Polylingual Topic Model and Labeled LDA.

Practical Collapsed Stochastic Variational Inference for the HDP

no code implementations2 Dec 2013 Arnim Bleier

Recent advances have made it feasible to apply the stochastic variational paradigm to a collapsed representation of latent Dirichlet allocation (LDA).

Variational Inference

Towards an Author-Topic-Term-Model Visualization of 100 Years of German Sociological Society Proceedings

no code implementations6 May 2013 Arnim Bleier, Andreas Strotmann

Author co-citation studies employ factor analysis to reduce high-dimensional co-citation matrices to low-dimensional and possibly interpretable factors, but these studies do not use any information from the text bodies of publications.

Bayesian Inference

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