Results 21 to 30 of about 629,043 (341)

Inductive Wireless Power Transfer Charging for Electric Vehicles–A Review

open access: yesIEEE Access, 2021
Considering a future scenario in which a driverless Electric Vehicle (EV) needs an automatic charging system without human intervention. In this regard, there is a requirement for a fully automatable, fast, safe, cost-effective, and reliable charging ...
Aganti Mahesh   +2 more
semanticscholar   +1 more source

Triadic Automata and Machines as Information Transformers

open access: yesInformation, 2020
Algorithms and abstract automata (abstract machines) are used to describe, model, explore and improve computers, cell phones, computer networks, such as the Internet, and processes in them.
Mark Burgin
doaj   +1 more source

Tümevarım Metodu Açısından en-Naḥvu’l-Vâḍıḥ ve el-Ḳavâʻidu’l-ʻArabiyyetu’l-Muyessere Adlı Arapça Dilbilgisi Kitaplarının İncelenmesi ve Nitel Bir Araştırma

open access: yesCumhuriyet İlahiyat Dergisi, 2022
Bu çalışmada tümevarım ve tümdengelim metotları hakkında bilgiler ile bu metotlar arasındaki farklar verilmiştir. Daha sonra Türkiye’de dilbilgisi öğretiminin metot açısından değerlendirilmesi yapılmıştır.
Mesut Köksoy
doaj   +1 more source

Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2020
Text classification is fundamental in natural language processing (NLP) and Graph Neural Networks (GNN) are recently applied in this task. However, the existing graph-based works can neither capture the contextual word relationships within each document ...
Yufeng Zhang   +5 more
semanticscholar   +1 more source

Joint Inductive and Transductive Learning for Video Object Segmentation [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Semi-supervised video object segmentation is a task of segmenting the target object in a video sequence given only a mask annotation in the first frame. The limited information available makes it an extremely challenging task.
Yunyao Mao   +3 more
semanticscholar   +1 more source

Quotients, inductive types, and quotient inductive types [PDF]

open access: yesLogical Methods in Computer Science, 2022
This paper introduces an expressive class of indexed quotient-inductive types, called QWI types, within the framework of constructive type theory. They are initial algebras for indexed families of equational theories with possibly infinitary operators ...
Marcelo P. Fiore   +2 more
doaj   +1 more source

Inductive-Inductive Definitions [PDF]

open access: yes, 2010
We present a principle for introducing new types in type theory which generalises strictly positive indexed inductive data types. In this new principle a set A is defined inductively simultaneously with an A-indexed set B, which is also defined inductively.
Fredrik Nordvall Forsberg, Anton Setzer
openaire   +4 more sources

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2020
Text classification is a critical research topic with broad applications in natural language processing. Recently, graph neural networks (GNNs) have received increasing attention in the research community and demonstrated their promising results on this ...
Kaize Ding   +4 more
semanticscholar   +1 more source

Quotient Inductive-Inductive Types [PDF]

open access: yes, 2018
Higher inductive types (HITs) in Homotopy Type Theory (HoTT) allow the definition of datatypes which have constructors for equalities over the defined type. HITs generalise quotient types and allow to define types which are not sets in the sense of HoTT (i.e.
Thorsten Altenkirch   +4 more
openaire   +5 more sources

DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning

open access: yesACM-SIGPLAN Symposium on Programming Language Design and Implementation, 2021
We present a system for inductive program synthesis called DreamCoder, which inputs a corpus of synthesis problems each specified by one or a few examples, and automatically derives a library of program components and a neural search policy that can be ...
Kevin Ellis   +8 more
semanticscholar   +1 more source

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