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[PDF] Top 20 Acronym Expansion: A General Approach Using Deep Learning

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Acronym Expansion: A General Approach Using Deep Learning

Acronym Expansion: A General Approach Using Deep Learning

... A crawled input for our model ranges from 200 characters to 60,000 characters, as we wanted to simulate real life scenarios as much as possible. A learning rate of 0.025 was found to be ideal, cou- pled with 12 ... See full document

6

Evaluating the Factors that Facilitate a Deep Understanding of Data Analysis

Evaluating the Factors that Facilitate a Deep Understanding of Data Analysis

... This paper asks: 'What are the factors that lead to this type of quality (deep) learning in data analysis?' In the study reported in this paper, students whose general approach to learni[r] ... See full document

12

What’s in a Domain? Learning Domain Robust Text Representations using Adversarial Training

What’s in a Domain? Learning Domain Robust Text Representations using Adversarial Training

... propose deep learning architectures for multi-domain learning, featuring a shared rep- resentation, and domain private ...Our approach generalises the feature augmenta- tion method of Daum´e ... See full document

6

A Deep Learning Approach to Machine Transliteration

A Deep Learning Approach to Machine Transliteration

... Neural networks have been used in NLP in the past, e.g. for machine translation (Asunci´on Casta˜no et al., 1997) and constituent parsing (Titov and Henderson, 2007). However, it might not be straight-forward to obtain ... See full document

9

Exploiting Structure for Scalable and Robust Deep Learning

Exploiting Structure for Scalable and Robust Deep Learning

... We now generalize the single-agent approach to learning a multi-agent policy. In particular, we are interested to capture the fact that expert multi-agent policies are inherently non-deterministic in many ... See full document

141

A Deep Learning Based Approach to Transliteration

A Deep Learning Based Approach to Transliteration

... Machine Transliteration is the process by which a word written in source language is transformed into a target language, accurately and unambigu- ously, by preserving the phonetic aspects and pro- nunciation. Generally ... See full document

5

A deep learning approach to estimating permanents

A deep learning approach to estimating permanents

... intuitive approach for converting classes into numerical values would be to use integers to number them, ...this approach, there is the risk that the machine learning algorithm makes incorrect ... See full document

138

Learning principles of accounting in ICT-supported learning environments of Malaysian secondary schools: future-oriented approach

Learning principles of accounting in ICT-supported learning environments of Malaysian secondary schools: future-oriented approach

... in learning approaches. The surface approach represents learning through memorising to meet the minimum requirement in assessment, while the deep approach stresses the importance of ... See full document

23

A general deep learning framework for network reconstruction and dynamics learning

A general deep learning framework for network reconstruction and dynamics learning

... 2018), and spatial-temporal forecasting (Jain et al. 2016; Li et al. 2017; Yu et al. 2017; Yan et al. 2018). Recently, the topic of recovering interactions and predicting physical dynamics under given interaction ... See full document

17

Deconstructing students’ attitude to learning:
a case study in IT education

Deconstructing students’ attitude to learning: a case study in IT education

... a general consensus that a deep approach to learning is desirable in higher ...between deep approaches and enhanced learning outcomes: students using a deep ... See full document

15

A general purpose intelligent surveillance system for mobile devices using deep learning

A general purpose intelligent surveillance system for mobile devices using deep learning

... GoogLeNet [5] was Google’s submission to the ImageNet competition in 2014, which also won the competition with an impressive error rate of 6.65%. GoogLeNet is a convolutional type network that uses an advanced ... See full document

8

A Supervised Learning Approach to Acronym Identification

A Supervised Learning Approach to Acronym Identification

... of acronym-definition pairs specific to a single ...query expansion for information retrieval. The literature on automatic acronym identification presents many attempts to solve the core task, and ... See full document

12

Studies on 
		classification of FMRI data using deep learning approach

Studies on classification of FMRI data using deep learning approach

... Brain mapping is the association of perceptual or cognitive states with specific patterns of brain activity and it is central to human neuroscience [9].There are single subject, multi subjects, single stimulus and multi ... See full document

5

Predictive Healthcare Informatics using Deep Learning   A Big Data Approach

Predictive Healthcare Informatics using Deep Learning A Big Data Approach

... new deep learning approaches, the development of novel hardware and software for parallel computing, and the extensive expansion of ...domain using deep learning approaches on ... See full document

5

Domain Adaptive Model For Sentiment Classification Using Deep Learning Approach

Domain Adaptive Model For Sentiment Classification Using Deep Learning Approach

... by using source labels ...for learning meaningful text representations [2]. Deep learning approach was used for high level feature extraction by using a stack of denoising and ... See full document

5

A web based approach: Acronym Definition Extraction

A web based approach: Acronym Definition Extraction

... extract acronym definition. Different manual edited websites like acronym finder, ...based approach to extract the definitions of an ...and Acronym Finder to identify the definitions of an ... See full document

8

Handwritten Digit Recognition by Elastic Matching

Handwritten Digit Recognition by Elastic Matching

... different approach [4] is being applied to handwritten digit recognition, implementing transformation invariance in a principled and object-independent ...our approach to Deep Learning is that ... See full document

8

Automated Skin Disease Identification using Deep Learning Algorithm

Automated Skin Disease Identification using Deep Learning Algorithm

... Development of a widespread plan to test the special features and general functionality on a range of platform combination is firstly initiated by the test process. The procedures used are strictly quality ... See full document

8

A Proposed Framework: Face Recognition With Deep Learning

A Proposed Framework: Face Recognition With Deep Learning

... this, deep learning has dominated and it has been used in recent years due to its momentous performance to solve the face recognition challenges using convolutional neural networks ...metric ... See full document

6

AN AUTOMATIC HYBRID APPROACH TO DETECT CONCEALED WEAPONS USING DEEP LEARNING

AN AUTOMATIC HYBRID APPROACH TO DETECT CONCEALED WEAPONS USING DEEP LEARNING

... Several evaluations were conducted to assess the proposed approach. These approaches are precision, recall, and F1-score for each class, and the mean F1 score for overall classes. These methods are summarized as ... See full document

6

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