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03/22/2021
Transfer Learning with Ensembles of Deep Neural Networks for Skin Cancer Classification in Imbalanced Data Sets
Early diagnosis plays a key role in prevention and treatment of skin can...
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04/06/2020
Gradient-Based Training and Pruning of Radial Basis Function Networks with an Application in Materials Physics
Many applications, especially in physics and other sciences, call for ea...
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10/18/2019
Supervised Learning Approach to Approximate Nearest Neighbor Search
Approximate nearest neighbor search is a classic algorithmic problem whe...
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08/21/2019
Minimum Description Length Revisited
This is an up-to-date introduction to and overview of the Minimum Descri...
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12/18/2018
Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search
Approximate nearest neighbor algorithms are used to speed up nearest nei...
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11/28/2018
An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation
We propose a novel application of coded computing to the problem of the ...
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08/08/2017
Learning non-parametric Markov networks with mutual information
We propose a method for learning Markov network structures for continuou...
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02/25/2016
Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood
We propose a Bayesian approximate inference method for learning the depe...
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09/23/2015
Fast k-NN search
Efficient index structures for fast approximate nearest neighbor queries...
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01/28/2014