Results 91 to 100 of about 227,245 (293)
Multi-Scale Dual-Branch Fully Convolutional Network for Hand Parsing [PDF]
arXiv, 2019 Recently, fully convolutional neural networks (FCNs) have shown significant performance in image parsing, including scene parsing and object parsing. Different from generic object parsing tasks, hand parsing is more challenging due to small size, complex structure, heavy self-occlusion and ambiguous texture problems.
arxiv
Context Free Grammar Based Top-Down Parsing of Myanmar Sentences [PDF]
, 2011 Parsing is important in Linguistics and Natural Language processing to understand the syntax and semantics of a natural language grammar. Writing the grammar production for Myanmar language is bit difficult because Myanmar is a relatively free word order,
Ni Lar Thein +2 more
core
Systems of Sequential Grammars Applied to Parsing [PDF]
, 2014 Tato práce zkoumá Gramatické systémy jako potenciálně silnější nástroj pro syntaktickou analýzu, nežli obyčejné gramatiky. Hlavním záměrem je aplikace teoretických modelů do praxe, vytvoření syntaktického analyzátoru.
Repík, Tomáš
core
CSGNet: Neural Shape Parser for Constructive Solid Geometry
, 2018 We present a neural architecture that takes as input a 2D or 3D shape and outputs a program that generates the shape. The instructions in our program are based on constructive solid geometry principles, i.e., a set of boolean operations on shape ...
Goyal, Rishabh +4 more
core +1 more source
Behavioral Sciences &the Law, EarlyView.ABSTRACT The Pareto principle is based on the concept that roughly 80% of outcomes are generated by 20% of inputs, efforts, or contributors within a group. Using a national sample of U.S. prison inmates, we examined various percentile rankings of self‐reported institutional misconduct to determine how much disorder is created behind bars by the most ...
Mark A. Morgan +3 more
wiley +1 more source
Logram: Efficient Log Parsing Using n-Gram Dictionaries [PDF]
arXiv, 2020 Software systems usually record important runtime information in their logs. Logs help practitioners understand system runtime behaviors and diagnose field failures. As logs are usually very large in size, automated log analysis is needed to assist practitioners in their software operation and maintenance efforts. Typically, the first step of automated
arxiv
ChemPhysChem, EarlyView.Relative energies of the cis and trans conformers of the protonated tetrapeptide, Gly‐Pro‐Gly‐Gly, selected by ion mobility spectrometry are measured using threshold collision‐induced dissociation. The trans conformation was found to be more stable than the cis conformation by 4.5 ± 2.5 kJ mol−1 at 0 K, a value in agreement with several levels of ...
Brandon C. Stevenson +3 more
wiley +1 more source
European Policy Analysis, EarlyView.Abstract In this study, we seek to understand the interplay between industry and policy, to explain how and why the UK shifted from the promotion of low‐emission road transportation, to policy based on zero tailpipe‐emission electric vehicles (EVs), as part of its evolving net zero ambitions.
Ural Arslangulov, Robert Ackrill
wiley +1 more source
European Policy Analysis, EarlyView.ABSTRACT In this article, we examine concepts that underpin the theories of the policy process. We exemplify the applicability of these concepts in the European policy‐making contexts through a systematic scoping review of European applications of the policy entrepreneur.
Evangelia Petridou +2 more
wiley +1 more source
A survey on deep reinforcement learning architectures, applications and emerging trends
IET Communications, EarlyView., 2022 Abstract From a future perspective and with the current advancements in technology, deep reinforcement learning (DRL) is set to play an important role in several areas like transportation, automation, finance, medical and in many more fields with less human interaction.
Surjeet Balhara +6 more
wiley +1 more source