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Learning Curve Extrapolation Methods Across Extrapolation Settings
Learning curves are important for decision-making in supervised machine learning. They show how the performance of a machine learning model develops...
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Extrapolation methods for multilinear PageRank
Multilinear PageRank is a variant of the PageRank algorithm that takes into account multiple relationships among nodes in a network. This algorithm...
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Dynamic Extrapolation in Extended Timed Automata
Abstractions, such as extrapolation, ensure the termination of timed automata model checking. However, such methods are normally only defined for...
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N-mode minimal tensor extrapolation methods
The purpose of this work is to present, using the n-mode product, a new approach to generalize, for tensor sequences, the well-known vector...
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Survey on learning-based scene extrapolation in robotics
Human’s imagination capability provides recognition of unseen environment which should be improved in robots in order to have better map**,...
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Application of an extrapolation method in the Hessenberg algorithm for computing PageRank
PageRank can be viewed as a hyperlink-based method for estimating the importance of nodes in a network, and has attracted a lot of attention from...
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Extrapolation is Not the Same as Interpolation
We propose a new machine learning formulation designed specifically for extrapolation. The textbook way to apply machine learning to drug design is...
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Extrapolation quadrature from equispaced samples of functions with jumps
Based on the Euler–Maclaurin formula, the Romberg quadrature method extrapolates trapezoidal values to improve their accuracy when computing the...
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Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data
Past works have shown knowledge graph embedding (KGE) methods learn from facts in the form of triples and extrapolate to unseen triples. KGE in...
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The Central Mechanism Underlying Extrapolation of Thermal Sensation
Extrapolation of thermal sensation (ETS) is a temperature-tuning phenomenon. Heat is felt outside the cold stimulator if given a single warm stimulus...
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A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems
In this paper, we consider a class of structured nonconvex nonsmooth optimization problems, in which the objective function is formed by the sum of a...
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FASSET: Frame Supersampling and Extrapolation Using Implicit Neural Representations of Rendering Contents
Despite recent advances in ray tracing hardwares, ray budgets are still limited for many rendering applications, especially when global illumination...
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Tensor extrapolation: an adaptation to data sets with missing entries
BackgroundContemporary data sets are frequently relational in nature. In retail, for example, data sets are more granular than traditional data,...
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Video Extrapolation in Space and Time
Novel view synthesis (NVS) and video prediction (VP) are typically considered disjoint tasks in computer vision. However, they can both be seen as...
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Fast Toeplitz eigenvalue computations, joining interpolation-extrapolation matrix-less algorithms and simple-loop theory
Under appropriate technical assumptions, the simple-loop theory allows to derive various types of asymptotic expansions for the eigenvalues of...
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STAM-LSGRU: a spatiotemporal radar echo extrapolation algorithm with edge computing for short-term forecasting
With the advent of Mobile Edge Computing (MEC), shifting data processing from cloud centers to the network edge presents an advanced computational...
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On the Consistency Order of Runge–Kutta Methods Combined with Active Richardson Extrapolation
Passive and active Richardson extrapolations are robust devices to increase the rate of convergence of time integration methods. While the order of...
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One-shot relational learning for extrapolation reasoning on temporal knowledge graphs
In recent years, temporal knowledge graph reasoning has been a critical task in natural language processing. Temporal knowledge graphs store temporal...
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A simple extrapolation method for clustered eigenvalues
This paper introduces a simple variant of the power method. It is shown analytically and numerically to accelerate convergence to the dominant...
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On the Implementation of Baselines and Lightweight Conditional Model Extrapolation (LIMES) Under Class-Prior Shift
This paper focuses on the implementation details of the baseline methods and a recent lightweight conditional model extrapolation algorithm LIMES [5]...