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Inverse search

Inverse search (also called "reverse search") is a feature of some non-interactive typesetting programs, such as LaTeX and GNU LilyPond. These… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
This paper considers a novel formulation of inverse reinforcement learning~(IRL) with behavioral economics constraints to address… Expand
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Highly Cited
2016
Highly Cited
2016
Most recent works in optical flow extraction focus on the accuracy and neglect the time complexity. However, in real-life visual… Expand
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Highly Cited
2015
Highly Cited
2015
This paper takes issue with the current tendency in the literature on Qualitative Comparative Analysis (QCA) to settle for so… Expand
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2015
2015
Abstract The paper discusses the complex, agent-oriented hierarchic memetic strategy (HMS) dedicated to solving inverse… Expand
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2014
2014
Regression-based Super-Resolution (SR) addresses the upscaling problem by learning a mapping function (i.e. regressor) from the… Expand
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2008
2008
In this paper, we propose to improve the overall process of information retrieval by explicitly addressing information provision… Expand
2008
2008
This paper presents a rapid and reliable approach to solve inverse problems of parameter estimation for structural systems using… Expand
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2007
2007
In this paper we present the idea of inverse search - an approach that aims to stimulate the diffusion of documents from the… Expand
2004
2004
Existing e-marketplaces, built on traditional client–server architectures, severely restrict the scope and dynamics of Business… Expand
Review
2004
Review
2004
Abstract An effective inverse scheme that can be applied to complex 3-D hydrodynamic forward models has so far proved elusive. In… Expand
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