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We first propose a new data transmission mechanism to reduce the redundant messages being sent.
In this paper, we propose a new data mining model for mining frequent inter-sequence patterns.
We propose a new, data dependent random forests-based, way to combine information available from the different feature sets.
This motivates us to propose a new data dissemination scheme to maximize data dissemination ratio with controlled overhead.
We propose a new data structure for manipulating graphs, called h-graph, which is particularly suited for designing dynamic algorithms.
To overcome the biases of individual classifiers, we propose a new data mining method called Wrapper-based Decision Trees (WDT).
Similar(44)
Therefore, we propose a new data-driven speech feature extraction method that we call the "Integrated Phoneme Subspace (IPS) method", which is based on [16] in the logarithmic mel-frequency filter bank domain.
We propose a new data-parallel processing scheme for block-based intra sample and coefficient prediction that allows fine-grain parallelism and is suitable for integration in current and future state-of-the-art image and video codecs.
Here we propose a new data-driven, spatially-adaptive, wavelet-based method for identifying, modeling, and removing non-stationary events in fMRI time series, caused by head movement, without the need for data scrubbing.
The work introduced in [28] proposes a new data analysis platform to support incremental one-pass analytics.
This paper proposes a new data center topology, called LaCoDa, that combines the advantages of previous topologies while avoiding their limitations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com