research
∙
01/26/2023
Inspecting class hierarchies in classification-based metric learning models
Most classification models treat all misclassifications equally. However...
share
research
∙
07/15/2022
Realistic mask generation for matter-wave lithography via machine learning
Fast production of large area patterns with nanometre resolution is cruc...
research
∙
01/21/2022
Distance-Ratio-Based Formulation for Metric Learning
In metric learning, the goal is to learn an embedding so that data point...
research
∙
07/01/2021
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics
Bayesian networks represent relations between variables using a directed...
research
∙
03/02/2017
Distributed Bayesian Matrix Factorization with Minimal Communication
Bayesian matrix factorization (BMF) is a powerful tool for producing low...
research
∙
08/31/2015
Learning Structures of Bayesian Networks for Variable Groups
Bayesian networks, and especially their structures, are powerful tools f...
research
∙
10/16/2012
Local Structure Discovery in Bayesian Networks
Learning a Bayesian network structure from data is an NP-hard problem an...
research
∙
05/09/2012
Exact Structure Discovery in Bayesian Networks with Less Space
The fastest known exact algorithms for scorebased structure discovery in...
research
∙
02/14/2012