Results 11 to 20 of about 2,253,559 (287)
A large annotated corpus for learning natural language inference [PDF]
Conference on Empirical Methods in Natural Language Processing, 2015 Understanding entailment and contradiction is fundamental to understanding natural language, and inference about entailment and contradiction is a valuable testing ground for the development of semantic representations. However, machine learning research
Samuel R. Bowman +3 more
semanticscholar +1 more source
, 2023 Patterns of microcircuitry suggest that the brain has an array of repeated canonical computational units. Yet neural representations are distributed, so the relevant computations may only be related indirectly to single-neuron transformations. It thus remains an open challenge how to define canonical distributed computations. We integrate normative and
Raju, Rajkumar Vasudeva +3 more
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Membership Inference Attacks Against Machine Learning Models [PDF]
IEEE Symposium on Security and Privacy, 2016 We quantitatively investigate how machine learning models leak information about the individual data records on which they were trained. We focus on the basic membership inference attack: given a data record and black-box access to a model, determine if ...
R. Shokri +3 more
semanticscholar +1 more source
adabmDCA: adaptive Boltzmann machine learning for biological sequences
BMC Bioinformatics, 2021 Background Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families.
Anna Paola Muntoni +3 more
doaj +1 more source
Journal of Statistics and Data Science Education, 2021 Collaborative work is inherent to being a statistician or data scientist, yet opportunities for training and exposure to real-world scenarios are often only a small part of a student’s academic program.
Julia L. Sharp +2 more
doaj +1 more source
Visualization and Inferences [PDF]
Harvard Data Science Review, 2021 International ...
openaire +5 more sources
An analysis of hot‐started ADMM for linear MPC
IET Control Theory & Applications, 2021 A convergence analysis of the alternating direction method of multipliers (ADMM) for linear model predictive control (MPC) problems with regularization terms is addressed here.
Mitsuru Toyoda, Mirai Tanaka
doaj +1 more source
IQ-TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era
bioRxiv, 2019 IQ-TREE (http://www.iqtree.org) is a user-friendly and widely used software package for phylogenetic inference using maximum likelihood. Since the release of version 1 in 2014, we have continuously expanded IQ-TREE to integrate a plethora of new models ...
B. Minh +6 more
semanticscholar +1 more source
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 The rising popularity of intelligent mobile devices and the daunting computational cost of deep learning-based models call for efficient and accurate on-device inference schemes.
Benoit Jacob +7 more
semanticscholar +1 more source
OrthoFinder: phylogenetic orthology inference for comparative genomics
Genome Biology, 2019 Here, we present a major advance of the OrthoFinder method. This extends OrthoFinder’s high accuracy orthogroup inference to provide phylogenetic inference of orthologs, rooted gene trees, gene duplication events, the rooted species tree, and comparative
David M. Emms, S. Kelly
semanticscholar +1 more source