Results 11 to 20 of about 32,198,489 (390)
Hierarchical Phrase-Based Sequence-to-Sequence Learning
We describe a neural transducer that maintains the flexibility of standard sequence-to-sequence (seq2seq) models while incorporating hierarchical phrases as a source of inductive bias during training and as explicit constraints during inference. Our approach trains two models: a discriminative parser based on a bracketing transduction grammar whose ...
Wang, Bailin+3 more
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A Comparison of a Transition-based and a Sequence-based Analysis of AOI Transition Sequences [PDF]
Several visual analytics (VA) systems are used for analyzing eye-tracking data because they synergize human-in-the-loop exploration with speed and accuracy of the computer. In the VA systems, the choices of visualization techniques could afford discovering certain types of insights while hindering others.
Yang, Chia-Kai+2 more
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TRAPR: R Package for Statistical Analysis and Visualization of RNA-Seq Data [PDF]
High-throughput transcriptome sequencing, also known as RNA sequencing (RNA-Seq), is a standard technology for measuring gene expression with unprecedented accuracy.
Jae Hyun Lim, Soo Youn Lee, Ju Han Kim
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Kernel based Dirichlet sequences
Let $X=(X_1,X_2,\ldots)$ be a sequence of random variables with values in a standard space $(S,\mathcal{B})$. Suppose \begin{gather*} X_1\simν\quad\text{and}\quad P\bigl(X_{n+1}\in\cdot\mid X_1,\ldots,X_n\bigr)=\frac{θν(\cdot)+\sum_{i=1}^nK(X_i)(\cdot)}{n+θ}\quad\quad\text{a.s.} \end{gather*} where $θ>0$ is a constant, $ν$ a probability measure on $\
Berti Patrizia+4 more
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ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training [PDF]
This paper presents a new sequence-to-sequence pre-training model called ProphetNet, which introduces a novel self-supervised objective named future n-gram prediction and the proposed n-stream self-attention mechanism.
Yu Yan+7 more
semanticscholar +1 more source
Reference-Based Sequence Classification [PDF]
Sequence classification is an important data mining task in many real world applications. Over the past few decades, many sequence classification methods have been proposed from different aspects. In particular, the pattern-based method is one of the most important and widely studied sequence classification methods in the literature.
Zengyou He+4 more
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Sequence-Based Anytime Control [PDF]
We present two related anytime algorithms for control of nonlinear systems when the processing resources available are time-varying. The basic idea is to calculate tentative control input sequences for as many time steps into the future as allowed by the available processing resources at every time step.
Quevedo, Daniel E., Gupta, Vijay
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Sequence dependence of transient Hoogsteen base pairing in DNA.
Hoogsteen (HG) base pairing is characterized by a 180° rotation of the purine base with respect to the Watson-Crick-Franklin (WCF) motif. Recently, it has been found that both conformations coexist in a dynamical equilibrium and that several biological ...
Alberto Pérez de Alba Ortíz+2 more
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Mobile manipulators are able to operate in a large workspace, and have the potential to replace human workers to perform a sequence of pick-and-place tasks at separate locations. Many existing works optimize the base position or manipulator configuration
Jingren Xu+4 more
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Sequence-Based Linkage Analysis [PDF]
The rapid decrease in the cost of DNA sequencing will enable its use for novel applications. Here, we investigate the use of DNA sequencing for simultaneous discovery and genotyping of polymorphisms in family linkage studies. In the proposed approach, short contiguous segments of genomic DNA, regularly spaced across the genome, are resequenced in each ...
Dana P. Carrington+7 more
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