Results 21 to 30 of about 2,333,745 (356)
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
Foundations of Inference [PDF]
Axioms, 2012 We present a simple and clear foundation for finite inference that unites and significantly extends the approaches of Kolmogorov and Cox. Our approach is based on quantifying lattices of logical statements in a way that satisfies general lattice symmetries.
Kevin H. Knuth, John Skilling
openaire +5 more sources
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
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
Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
Nature Methods, 2017 We introduce Salmon, a lightweight method for quantifying transcript abundance from RNA–seq reads. Salmon combines a new dual-phase parallel inference algorithm and feature-rich bias models with an ultra-fast read mapping procedure.
Robert Patro +4 more
semanticscholar +1 more source
Fast Inference from Transformers via Speculative Decoding [PDF]
International Conference on Machine Learning, 2022 Inference from large autoregressive models like Transformers is slow - decoding K tokens takes K serial runs of the model. In this work we introduce speculative decoding - an algorithm to sample from autoregressive models faster without any changes to ...
Yaniv Leviathan +2 more
semanticscholar +1 more source
Variational Inference for Logical Inference
arXiv: Computation and Language, 2017 Functional Distributional Semantics is a framework that aims to learn, from text, semantic representations which can be interpreted in terms of truth. Here we make two contributions to this framework. The first is to show how a type of logical inference can be performed by evaluating conditional probabilities.
Emerson, Guy, Copestake, Ann
openaire +3 more sources
One versus two doses: What is the best use of vaccine in an influenza pandemic?
Epidemics, 2015 Avian influenza A (H7N9), emerged in China in April 2013, sparking fears of a new, highly pathogenic, influenza pandemic. In addition, avian influenza A (H5N1) continues to circulate and remains a threat.
Laura Matrajt +3 more
doaj +1 more source
Media Coverage as Mirror or Molder? An Inference-Based Framework
Media and Communication, 2022 Many communication theories in the context of political communication are based on the premise that humans are social beings affected by their perception of what others think, do, or say.
Christina Peter
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Indirect Inference for Locally Stationary Models
, 2020 We propose the use of indirect inference estimation to conduct inference in complex locally stationary models. We develop a local indirect inference algorithm and establish the asymptotic properties of the proposed estimator.
Frazier, David, Koo, Bonsoo
core +1 more source