نتایج جستجو برای: deep learning

تعداد نتایج: 755011  

2016
Nicolas Jaccard Thomas W. Rogers Edward J. Morton Lewis D. Griffin

2015
Junting Pan Xavier Giró i Nieto

........................................................................................................................... 1 Resum .............................................................................................................................. 2 Resumen .......................................................................................................................... 3 Ack...

Journal: :Computer Aided Geometric Design 2016
Zhenyu Shu Chengwu Qi Shi-Qing Xin Chao Hu Li Wang Yu Zhang Ligang Liu

Article history: Available online 18 February 2016

2018
Tianqi Chen Thierry Moreau Ziheng Jiang Haichen Shen Eddie Yan Leyuan Wang Yuwei Hu Luis Ceze Carlos Guestrin Arvind Krishnamurthy

Journal: :InformingSciJ 2009
Kevin S. Floyd Susan Harrington Julie Santiago

This study investigated the relationships among perceived course value, student engagement, deep learning strategies, and surface learning strategies. The study relied on constructs from previous studies to measure course value, engagement, surface learning strategy, and deep learning strategy. Statistically significant findings were observed between perceived course value, student engagement, ...

Journal: :CoRR 2017
Kazuhisa Matsunaga Akira Hamada Akane Minagawa Hiroshi Koga

This short paper reports the method and the evaluation results of Casio and Shinshu University joint team for the ISBI Challenge 2017 – Skin Lesion Analysis Towards Melanoma Detection – Part 3: Lesion Classification hosted by ISIC. Our online validation score was 0.958 with melanoma classifier AUC 0.924 and seborrheic keratosis classifier AUC 0.993.

2014
Carmen Banea Di Chen Rada Mihalcea Claire Cardie Janyce Wiebe

This article presents our team’s participating system at SemEval-2014 Task 3. Using a meta-learning framework, we experiment with traditional knowledgebased metrics, as well as novel corpusbased measures based on deep learning paradigms, paired with varying degrees of context expansion. The framework enabled us to reach the highest overall performance among all competing systems.

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