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