[PDF] Top 20 A Machine Learning Approach for Phenotype Name Recognition
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A Machine Learning Approach for Phenotype Name Recognition
... Entity Recognition and Classification in the biomedical domain has been extensively ...(3) machine learning techniques (for example, (Nobata et ...biomedical name entity recognizer (Gong et ... See full document
16
Sign Language Recognition using Machine Learning Approach
... Language Recognition (SLR) systems because they carry grammatical and prosodic ...Language Recognition system is the automatic computerized system that automatically recognize signs and translate into ... See full document
9
A Comprehensive Data Analysis on Handwritten Digit Recognition using Machine Learning Approach
... Parveen Kumar, Nitin Sharma and Arun Rana [8] made an attempt to recognize a handwritten character using SVM classifier and MLP Neural Network. Different kernel-based SVM like the linear kernel, polynomial kernel, and ... See full document
5
Recognition of the emotion in abstract expressionistic paintings using a machine learning approach
... Petrushin [PETRUSHIN] did research on agents for emotion recognition in speech and their application to a real world problem. The agents can recognize five emotional states with the following accuracy: normal or ... See full document
60
Joint Inference of Named Entity Recognition and Normalization for Tweets
... Arabic name normalization using a machine learning approach, a dictionary of person names and frequency information for names in a collection; Cucerzan (2007) demostrates a large- scale system ... See full document
10
A Hybrid Machine Learning based Approach for Hindi License Plate Recognition
... existing machine learning ...based approach requires specific hardware support such as graphics processing units (GPU) for efficient and faster ... See full document
6
Maximum Entropy Approach based Named Entity Recognition in Punjabi Language
... based Approach that needs skilled linguistics to handcraft ...The Machine Learning based approach which is the current trend in NER as it is trainable, adaptable and its maintenance is much ... See full document
5
Advanced Machine Learning Approach: Deep Learning
... Due to the deep learning approach, the efficiency of image recognition and object detection has increased dramatically over the past seven years. Convolutional neural networks (CNNs) gave the ... See full document
5
Optimized Name Entity Recognition of Machine Translation
... Processing. Machine Translation refers to using machine to convert one natural language to another ...language. Machine transliteration for English to Punjabi and Hindi languages pair has been done ... See full document
9
Face Recognition using Machine Learning
... image recognition, natural language processing, semantic segmentation and many other real world scenarios ...deep learning approaches like Convolution Neural Network (CNN), Deep Belief Network (DBN) [36], ... See full document
5
New Hybrid System of Machine Learning and Statistical Pattern Recognition for a 3D Visibility Network
... the statistical topological property of the visibility networks to describe the carbide content in the microstructures. Image analysis of the SEM images of the RLH specimens is an interesting approach. With MR, GP ... See full document
8
Approach for the Development of a Framework for the Identification of Activities of Daily Living Using Mobile Devices’ Sensors
... acquisition; data processing; data fusion; pattern recognition; machine learning.. 28 29.[r] ... See full document
21
Handwriting Recognition by Machine Learning
... Umang gupta, niladri chatterjee (2013) [5],explain the identification of personality trait by using rough set based machine learning method. As handwriting embedded with the human trait so in present work ... See full document
5
Automatic interpretation of nucleoside mass spectra
... The pattern recognition methods of statistical linear discriminant function analysis, learning machine approach, distance from the mean, and k-nearest neighbour classification have been [r] ... See full document
262
Name Translation in Statistical Machine Translation Learning When to Transliterate
... improve name translation in the context of ...Second, name translation is a hard problem — even professional human trans- lators have trouble with ... See full document
9
A Joint Chinese Named Entity Recognition and Disambiguation System
... With the development of NER, there have been some researches on combining this compo- nent with entity linking (EL). Stern et al. (2012) introduced a system based on a joint application of NER and EL, where the NER ... See full document
6
Automated Number Plate Recognition System Usi...
... character recognition was done by Probabilistic Neural ...proposed approach presented a solution for the license plate recognition problem in China’s number ...fuzzy recognition method which ... See full document
7
Smart Stick for Blind using Machine Learning
... The given model has supersonic device and water sensor hooked up thereto. If any of the device is triggered then the there'll be vibration. The blind man just in case if he's any emergency will endure the emergency ... See full document
7
Digit Recognition using Machine Learning
... Related works on digit recognition include one by Duong and Emptoz[1], who proposed a cascade classifier. Their model is a combination of multiple classifiers based on confusion analysis and local retraining ... See full document
5
A Machine Learning Approach to Convert CCGbank to Penn Treebank
... statistical machine learning method instead of creating conversion grammars or defining instructions, and thus avoid the difficulties in developing these rules? Is it possible to restore the tree structure ... See full document
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