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05/15/2023
Fast Inference of Tree Ensembles on ARM Devices
With the ongoing integration of Machine Learning models into everyday li...
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12/07/2021
Shrub Ensembles for Online Classification
Online learning algorithms have become a ubiquitous tool in the machine ...
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11/08/2021
There is no Double-Descent in Random Forests
Random Forests (RFs) are among the state-of-the-art in machine learning ...
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10/19/2021
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement
Random Forests (RF) are among the state-of-the-art in many machine learn...
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05/25/2021
Providing Meaningful Data Summarizations Using Exemplar-based Clustering in Industry 4.0
Data summarizations are a valuable tool to derive knowledge from large d...
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02/02/2021
Bit Error Tolerance Metrics for Binarized Neural Networks
To reduce the resource demand of neural network (NN) inference systems, ...
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01/21/2021
GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering
The optimization of submodular functions constitutes a viable way to per...
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11/05/2020
Generalized Negative Correlation Learning for Deep Ensembling
Ensemble algorithms offer state of the art performance in many machine l...
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10/20/2020
Very Fast Streaming Submodular Function Maximization
Data summarization has become a valuable tool in understanding even tera...
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02/03/2020