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Combination of Machine Learning Methods for Optimum Chinese ...

This article presents our recent work for par- ticipation in the Second International Chi- nese Word Segmentation Bakeoff. Our system performs two procedures: Out-of- vocabulary extraction and word segmenta- tion. We compose three out-of-vocabulary extraction modules: Character-based tag- ging with different classifiers...

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Chinese microblogging emotion classification based on support ...

Abstract: Through the analysis and study of the emotional characteristics in Chinese micro-blog, this paper proposed a multidimensional sentiment classification method based micro-blog emotion classification, emoticon in micro-blog is adopted to train the support vector machine and divide micro-blog into seven types of...

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Classification of Chinese-to-English translated social network ...

We train our text classifier using Twitter corpus (in English language), and use this classifier to classify Chinese text. In the previous research, Chinese sentences are processed using Chinese word segmentation algorithms before the application of machine learning algorithm. Chinese word segmentation algorithms split...

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ITEMS 1 - 9 ... China Spiral Classifier/Sand Washing Machine (FG), Find details about China ... Spiral ... Spiral Classifier, You Can buy good quality Spiral Classifier - we are Spiral Classifier exporter & Spiral Classifier manufacturer from China market. ... Lowest Price Spiral Classifier,US $ 5000 - 70000 / Set, Shandong, China .

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Development of a ten-signature classifier using a support vector ...

Nov 30, 2015 ... The mNPC-SVM classifier identified 182 patients as low risk (called the M1a stage) and 165 patients as high risk (defined as the M1b stage). The 2-year overall survival rates differed significantly between M1a and M1b patients (71.4% v 18.8%, P < 0.001). The corresponding overall survival also differed...

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Applying Cost-Sensitive Extreme Learning Machine and ...

Aug 23, 2016 ... Experimental results show that the rejection cost embedded CS-D-ELM algorithm effectively reduces the average and overall cost of the classification process, while the classification accuracy still remains .... [27] proposed an optimized cost-sensitive SVM to deal with the imbalanced data learning problem.

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Machine learning for Asian language text classification: Journal of ...

The purpose of this research is to compare several machine learning techniques on the task of Asian language text classification, such as Chinese and Japanese where no word boundary information is available in written text. The paper advocates a simple language modeling based approach for this task.

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Exploring Determinants of Inflation in China based on L1-∈-Twin ...

As a novel feature selection approach, L1-norm E-twin support vector regression(L1-E- TSVR)is proposed in this paper to investigate determinants of cost-push inflation in China. Compared with L2-ε-TSVR, our L1-E- TSVR not only can fit function well, but also can do feature ranking. The computational results of inflation...

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Chinese classifier - Wikipedia

The modern Chinese varieties make frequent use of what are called classifiers or measure words. One of the basic uses of classifiers is in phrases in which a noun is qualified by a numeral. When a phrase such as "one person" or "three books" is translated into Chinese, it is normally necessary to insert an appropriate...

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Advances in Patient Classification for Traditional Chinese Medicine ...

Apr 7, 2015 ... Advances in Patient Classification for Traditional Chinese Medicine: A Machine Learning Perspective. Changbo Zhao ... This is due to the fact that western medicine generally focusing on prescribing medication to deal with the patient's symptoms as effectively as possible. However, TCM theory is based on...

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Machine Learning-based Dependency Analyzer for Chinese - COLIPS

Journal of Chinese Language and Computing 15 (1): (13-24). Machine Learning-based Dependency Analyzer for. Chinese. Yuchang CHENG and Masayuki ... Natural Language Processing, Chinese, Parsing, Parsing algorithm, Dependency Analysis, ..... of focused node to reduce the computational cost for training.

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A Method of Neighbor Classes Based SVM Classification for Optical ...

Mar 11, 2013 ... In optical printed Chinese character recognition (OPCCR), many classifiers have been proposed for the recognition. Among the classifiers, support vector machine (SVM) might be the best classifier. ... In our experiments, R = 0.05D, C = 0.05D, D is the minimum of the row and the column of the image.

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Support Vector Machines for Binary Classification - MATLAB ...

For one-class or binary classification, and if you have an Optimization Toolbox license, you can choose to use quadprog to solve the one-norm problem. quadprog uses a good deal of memory, but solves quadratic programs to a high degree of precision. For more details, see Quadratic Programming Definition (Optimization...

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Sentiment classification of Internet restaurant reviews written in ...

Chinese speakers. In this paper, standard machine learning techniques naive Bayes and SVM are incorporated into the domain of online Cantonese-written restaurant reviews to automatically classify user reviews as positive or negative. The effects of feature presentations and feature sizes on classification performance...

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JMIR-Assessing Suicide Risk and Emotional Distress in Chinese ...

Jul 10, 2017 ... Conclusions: SC-LIWC is useful to examine language markers of suicide risk and emotional distress in Chinese social media and can identify characteristics different from previous findings in the English literature. Some findings are leading to new hypotheses for future verification. Machine classifiers...

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python - Very simple text classification by machine learning ...

You are indeed describing a classification problem, which can be solved with machine learning. In this problem, your features are the words in the ... Manually label a set of examples, each will be labeled with the desired class (Chinese, Belgian, Junk food,...) Feed your labeled examples into a learning algorithm.

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hyperspectral remote sensing image classification ... - GIPSA Lab

China University of Mining and Technology, Xuzhou City Jiangsu Province 221116, China. ABSTRACT. Support vector machine ... proaches have a great deal of advantages in classifying HRS image. Index Terms— Classifier ... SVM, as the machine learning algorithm for small sample size problem based on statistical...

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Support Vector Machine Based Ensemble Classifier

699 records ... deal of information from many data sources is collected. ... Development Program of China (2002AA412010), and in part supported by ... In Section II the basic theory of SVM for classification is introduced. The. Support Vector Machine Based. Ensemble Classifier. Zhonghui Hu, Yunze Cai, Ye Li and Xiaoming Xu.

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A Self-Representation Induced Classifier - IJCAI

3School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. 4School of Mathematics and ... machine learning and pattern recognition tasks such as face recognition [Turk and Pentland, 1991], ... and therefore has much lower computational cost than SRC. Inspired by SRC and CRC, in [Chi...

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Hyperspectral image classification using Support Vector Machine

Machine. T A Moughal. Laboratory of Complex Systems and Intelligent Control, School of Mathematical. Sciences, Beijing Normal University, Beijing, China. E-mail: tauqir_mughal@yahoo.com. Abstract. ... Support Vector Machine (SVM) is suggested in this paper to deal with the multiclass problem of hyperspectral imagery.

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Chinese comments sentiment classification based on word2vec and ...

Mar 1, 2015 ... J. Li, M. Sun, Experimental study on sentiment classification of chinese review using machine learning techniques, in: Proceedings of the international .... Fengfeng Fan, POOLSIDE: An Online Probabilistic Knowledge Base for Shopping Decision Support, Proceedings of the 2017 ACM on Conference on...

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IoT Security Techniques Based on Machine Learning - arXiv

Jan 19, 2018 ... †National Mobile Communications Research Laboratory, Southeast University, Nanjing, China. ‡WINLAB ... focus on the machine learning based IoT authentication, access control, secure offloading and ... cheap sensors with light-weight security protections are usually more vulnerable to attacks than.

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Patient classification of hypertension in Traditional Chinese ...

Sep 23, 2015 ... ... classification of hypertension in Traditional Chinese Medicine using multi-label learning techniques. Guo-Zheng Li†,; Zehui He†,; Feng-Feng Shao,; Ai-Hua OuEmail author and; Xiao-Zhong Lin. †Contributed equally. BMC Medical Genomics20158(Suppl 3):S4. https://doi.org/10.1186/1755-8794-8-S3-S4.

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China Zenith Hot Sale Powder Air Classifier for Fine Sand - China ...

China Zenith Hot Sale Powder Air Classifier for Fine Sand, Find details about China Air Classifier, Powder Air Classifier from Zenith Hot Sale Powder Air Classifier for Fine Sand ... Order / Reference FOB Price. 1 Piece ... The optimized structure enables this machine to disperse agglomerate ultrafine powder and polymers;

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Drug-likeness Analysis of Traditional Chinese Medicines: Prediction ...

Jun 27, 2012 ... Drug-likeness Analysis of Traditional Chinese Medicines: Prediction of Drug-likeness Using Machine Learning Approaches. Sheng Tian† ... Then, a variety of Bayesian classifiers were constructed by changing the ratio of drug-like to non-drug-like molecules and the size of the training set. The results...

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Spiral Classifier Price Wholesale, Spiral Classifier Suppliers - Alibaba

Alibaba.com offers 747 spiral classifier price products. About 65% of these are mineral separator, 10% are sand washer, and 3% are mine mill. A wide variety of spiral classifier price options are available to you, such as sprial separator, gravity separator, and flotation separator.

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Which Classification Algorithm among SVM, Naive Bayes,...

Zafar Ali. 5.32; Southeast University (China) ... Which among the existing machine learning algorithms outperform in classifying large size textual documents i.e., research articles and books. Also, what could be the ... Concerning Naive Bayes has low computational cost but not such a good performance. Also you could...

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China Clay Processing Machinery - Rake Classifier For China Clay ...

Exporter of China Clay Processing Machinery - Rake Classifier For China Clay Processing offered by Shri Vijaylakshmi Industries, Coimbatore, Tamil Nadu. ... rake classifiers can also be specified with single as well as twin model screw classifier. Request Callback. Rake Classifier For China Clay Processing. Ask For Price...

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Recognizing Handwritten Japanese Characters Using ... - CS231n

Written Japanese consists of three types of scripts: lo- gographic kanji (Chinese characters) and syllabic ... recognition rates for Chinese characters are 94.77% for pre- segmented characters using a convolutional ... was achieved using a support vector machine classifier [13]. For katakana, a three-layer neural network...

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Land use and land cover classification for rural residential areas in ...

Dec 1, 2017 ... Local features are frequently considered as low-level feature descriptors in a midlevel feature learning method. ... a support vector machine (SVM) classifier, and a conditional random field (CRF) model to utilize the different effective low-level features and improve the discriminability of midlevel feature...

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Can Chinese Web Pages be Classified with English Data Source?

machine learning techniques which require a large amount of labeled data ... algorithm first translates all the Chinese Web pages to En- glish. Then, all ...... Science. 914. 75,434. Shopping. 488. 86,736. Society. 1,481. 185,466. Sports. 321. 71,065. Total. 18,243. 1,271,106. Table 1: The descriptions for all the categories in.

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Case Study — Criminal Machine Learning - Calling Bullshit.

A machine learning algorithm can be only as good, and only as unbiased, as the training data that we provide to it. So what did these authors provide to their algorithm as training data? They collected over 1,800 photos of Chinese men aged 18-55, with no distinguishing facial hair, scars, or tattoos. About 1100 of these were...

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Dealing with Imbalanced Classes in Machine Learning

Feb 2, 2018 ... Most real-world classification problems display some level of class imbalance, which is when each class does not make up an equal portion of your ... Generally, this problem deals with the trade-off between recall (percent of truly positive instances that were classified as such) and precision (percent of...

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Combining Low-dimensional Wavelet Features and Support Vector ...

Jul 20, 2017 ... In classification, 12-element feature vectors characterizing six types of beats are used as inputs for one-versus-one support vector machine, which is conducted in form of 10-fold cross validation with beat-based and record-based training schemes. Tested upon a total of 107049 beats from MIT-BIH...

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Identifying Personal Narratives in Chinese Weblog Posts

Aug 18, 2013 ... million posts from a popular Chinese weblog hosting service, and the manual annotation of story and nonstory content in sampled posts. Using supervised machine learning methods, we developed an automated text classifier for personal narratives in Chinese posts, achieving classification accuracy...

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dlib C++ Library - Machine Learning

Mar 18, 2018 ... This function performs the clustering algorithm described in the paper. Chinese Whispers - an Efficient Graph Clustering Algorithm and its Application to Natural Language Processing Problems by Chris Biemann. In particular, this is a method for automatically clustering the nodes in a graph into groups.

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Machines making music, translating Chinese, self-driving trucks, and ...

Mar 17, 2018 ... Making music with machine learning - Google researchers have developed a model that uses machine learning to make new music by mixing .... The best architectures discovered, nicknamed AmoebaNets, apparently achieved accuracy rates comparable with the best hand-designed image classifiers on...

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Google teams up with Kaggle to host $100,000 video classification ...

Feb 15, 2017 ... Still, Google doesn't restrict developers to using its own machine learning framework. They can use other frameworks, too. Given that the full frame-level data set is 1.71 TB large, though, and lives on Google's Cloud Platform, chances are most developers will want to use Google's own services to train their...

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What's a good accuracy? - Classification: Analyzing Sentiment ...

In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search...

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Content-Based Audio Classification and Retrieval Using ... - Microsoft

GuoDong Guo. Microsoft Research China, 5/F Beijing Sigma Center, Beijing 100080, China. * szli@microsoft.com. Abstract. In this paper, a support vector machines (SVMs) based method is proposed for content-based ..... efficiency. SVM has error rates similar to NFL but the low- est error rate is obtained by using NFL with...

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