Results 21 to 30 of about 2,201 (111)
Pengaruh Senam Otak Terhadap Peningkatan Short Term Memory Pada Lansia [PDF]
, 2018 Tahap akhir tumbuh kembang manusia adalah lansia. Banyak Perubahan yang terjadi pada lansia. Perubahan mental yang terjadi berupa penurunan intelektualitas yang meliputi persepsi, kemampuan kognitif, memori dan belajar yang menyebabkan mereka sulit untuk
Triestuning, E. (Elok)
core +2 more sources
Recurrent Memory Networks for Language Modeling [PDF]
, 2016 Recurrent Neural Networks (RNN) have obtained excellent result in many natural language processing (NLP) tasks. However, understanding and interpreting the source of this success remains a challenge.
Bisazza, Arianna +2 more
core +2 more sources
Umanistica DigitaleIn recent years, AIUCD, in collaboration with other associations, including AICC, has expanded its efforts to train humanities teachers in schools. This paper presents and reflects on two ongoing experiments at the Liceo "G. A.
Paolo Monella +3 more
doaj +1 more source
A method for comparing chess openings
, 2014 A quantitative method is described for comparing chess openings. Test openings and baseline openings are run through chess engines under controlled conditions and compared to evaluate the effectiveness of the test openings.
Munshi, Jamal
core +1 more source
Synergizing Wikis, Vodcasts, and Podcasts for Collaborative Class Texts [PDF]
, 2010 This tech-savvy generation of students, known as digital natives, desires to learn and to interact utilizing the collaborative technologies that have always been a part of their lives.
Rockinson-Szapkiw, Amanda J. +2 more
core +1 more source
Complexity, Volume 2025, Issue 1, 2025.Controllability in temporal networks is considered one of the most important challenges in this type of network. Network controllability methods try to fully control the network with the minimum number of control nodes. This type of network is always exposed to internal and external attacks and failures.
Yan Dou +3 more
wiley +1 more source
Segatron: Segment-Aware Transformer for Language Modeling and Understanding
, 2020 Transformers are powerful for sequence modeling. Nearly all state-of-the-art language models and pre-trained language models are based on the Transformer architecture. However, it distinguishes sequential tokens only with the token position index.
Bai, He +7 more
core +2 more sources
This Table is Different: A WordNet-Based Approach to Identifying References to Document Entities [PDF]
, 2016 Writing intended to inform frequently con-tains references to document entities (DEs), a mixed class that includes orthographically structured items (e.g., illustrations, sections, lists) and discourse entities (arguments, sug-gestions, points).
Black, Alan W +2 more
core
Hybrid world object tracking for a virtual teaching agent [PDF]
, 2010 Fast algorithms and heuristics for real-time object recognition and tracking have enabled a new hybrid world technology in which one can manipulate a real world object and have its virtual world counterpart move correspondingly.
Franzel, David +6 more
core +1 more source
Wikibook-Bot - Automatic Generation of a Wikipedia Book
, 2018 A Wikipedia book (known as Wikibook) is a collection of Wikipedia articles on a particular theme that is organized as a book. We propose Wikibook-Bot, a machine-learning based technique for automatically generating high quality Wikibooks based on a concept provided by the user. In order to create the Wikibook we apply machine learning algorithms to the
Admati, Shahar +2 more
openaire +2 more sources