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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… 
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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… 
Review
2019
Review
2019
: Parkinson’s disease (PD) is the most common age-related neurodegenerative motor disease. People with Parkinson’s have different… 
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… 
2015
2015
Abstract The paper discusses the complex, agent-oriented hierarchic memetic strategy (HMS) dedicated to solving inverse… 
2014
2014
Regression-based Super-Resolution (SR) addresses the upscaling problem by learning a mapping function (i.e. regressor) from the… 
2008
2008
In this paper, we propose to improve the overall process of information retrieval by explicitly addressing information provision… 
2007
2007
In this paper we present the idea of inverse search - an approach that aims to stimulate the diffusion of documents from the… 
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… 
2004
2004
Existing e-marketplaces, built on traditional client–server architectures, severely restrict the scope and dynamics of Business…