Ralf Eggeling

According to our database, Ralf Eggeling authored at least 15 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Transfer Learning for T-Cell Response Prediction.

Josua Stadelmaier, Brandon Malone, Ralf Eggeling

CoRR, 2024

2019

Algorithms for learning parsimonious context trees.

Ralf Eggeling, Ivo Grosse, Mikko Koivisto

Mach. Learn., 2019

Learning Bayesian networks with local structure, mixed variables, and exact algorithms.

Topi Talvitie, Ralf Eggeling, Mikko Koivisto

Int. J. Approx. Reason., 2019

Weighted elastic net for unsupervised domain adaptation with application to age prediction from DNA methylation data.

Lisa Handl, Adrin Jalali, Michael Scherer, Ralf Eggeling, Nico Pfeifer

Bioinform., 2019

On Structure Priors for Learning Bayesian Networks.

Ralf Eggeling, Jussi Viinikka, Aleksis Vuoksenmaa, Mikko Koivisto

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Finding Optimal Bayesian Networks with Local Structure.

Topi Talvitie, Ralf Eggeling, Mikko Koivisto

Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth.

Jussi Viinikka, Ralf Eggeling, Mikko Koivisto

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites.

Ralf Eggeling, Ivo Grosse, Jan Grau

Bioinform., 2017

2016

Pruning Rules for Learning Parsimonious Context Trees.

Ralf Eggeling, Mikko Koivisto

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015

Inferring intra-motif dependencies of DNA binding sites from ChIP-seq data.

Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse

BMC Bioinform., 2015

Dealing with small data: On the generalization of context trees.

Ralf Eggeling, Mikko Koivisto, Ivo Grosse

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Robust learning of inhomogeneous PMMs.

Ralf Eggeling, Teemu Roos, Petri Myllymäki, Ivo Grosse

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Inhomogeneous Parsimonious Markov Models.

Ralf Eggeling, André Gohr, Pierre-Yves Bourguignon, Edgar Wingender, Ivo Grosse

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Extended Sunflower Hidden Markov Models for the recognition of homotypic cis-regulatory modules}.

Ioana M. Lemnian, Ralf Eggeling, Ivo Grosse

Proceedings of the German Conference on Bioinformatics 2013, 2013

2011

Bayesian Prediction of DNA Binding Sites Using Parsimonious Markov Models.

Ralf Eggeling

Proceedings of the Informatiktage 2011, 2011