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Classifier: yes 10 10 Classifier: no 10 970 Truth: yes Truth: no Classifier: yes 90 10 Classifier: no 10 890 Truth: yes Truth: no Classifier: yes 100 20 Classifier: no 20 1860 20 Class 1 Class 2 Micro Ave. Table Sec. 15.2.4 • Macroaveragedprecision: (0.5 + 0.9)/2 = 0.7 • Microaveragedprecision: 100/120 = .83
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Fuyun WU, Professor | Cited by 179 | of Shanghai Jiao Tong University, Shanghai (SJTU) | Read 16 publications | Contact Fuyun WU
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Read "Two General Classifiers in the Shanghai Wu Dialect: A Comparison with Mandarin and Cantonese, Cahiers de Linguistique Asie Orientale / Oriental Languages and Linguistics" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.
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Comprehensive DNA Methylation Profiling of Medullary Thyroid Carcinoma: Molecular Classification, Potential Therapeutic Target, and Classifier System Clin Cancer Res . 2024 Jan 5;30(1):127-138. doi: 10.1158/1078-0432.CCR-23-2142.
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Decision tree classifiers are regarded to be a standout of the most well-known methods to da ta classification representation of classifiers. Different researchers from various fields and ...
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Classifieds on Shanghai - Angloinfo - Buy and sell (almost) anything with our local classifieds.
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Traditional nonlinear classifiers adopt kernel functions to generate kernel matrices and then get optimal classifier parameters with the solution of these matrices. But computing and storing kernel matrices brings high computational and space complexities. ... Natural Science Foundation of Shanghai under grant numbers 16ZR1414500, …
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Both government and citizens of Shanghai are now contributing to MSW classification, aiming to build a complete, world-class MSW classification system by the end of 2020 [20,21,22,23]. This …
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An intriguing feature of the Shanghai Wu dialect classifier system is that it possesses two general classifiers: /ginverted e?1/ and /tsinverted e?5/. In this article, we set out to tease apart ...
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In our evaluations on a "challenge set" of English texts, our classifier correctly identifies 26% of AI-written text (true positives) as "likely AI-written," while incorrectly labeling human-written text as AI-written 9% of the time (false positives). Our classifier's reliability typically improves as the length of the input text ...
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5 Shanghai Qiangshi Information Technology Co., Ltd, Shanghai, China. 6 Department of Clinical Pharmacy and Pharmacy Administration, School of Pharmacy, ... /in silico method to estimate the acceptable daily intake of hepatotoxic compounds using support vector machine (SVM) classifier and physiologically based pharmacokinetic (PBPK) modeling ...
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Rocchio classification is a form of Rocchio relevance feedback (Section 9.1.1, page 9.1.1).The average of the relevant documents, corresponding to the most important component of the Rocchio vector in relevance …
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The classifier is mainly composed of transmission device, spiral body, trough, lifting mechanism, lower support (bearing) and discharge valve. Spiral Classifier Advantages: 1、Simple structure, easy to maintain. 2、Easy operation and stable performance. 3、Gravity connection with Ball mills; slurry pump conveying is not necessary.
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The authors use a DNA-framework-based molecular classifier to perform biomarker panel screening and analyse six biomarkers across three-dimensional datatypes to obtain a molecular taxonomy for ...
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Explore and run machine learning code with Kaggle Notebooks | Using data from Adult Dataset
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A biosensing method for the direct serological detection of liver diseases by integrating a SERS-based sensor and a CNN classifier Biosens Bioelectron. 2021 Apr 20 ... Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, People's Republic of China; International Cooperation Laboratory on ...
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For the classifier, the distance metric is an adaptation of locally weighted regression. The system was validated with the MIT-BIH Arrhythmia Database. The system achieved a sensitivity of 97.22 % and a specificity of 97.4 % for heartbeat detection. The system also achieved a sensitivity of 97.1 % and a specificity of 96.9 % for classification.
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ShanghaiRanking's Global Ranking of Sport Science Schools and Departments 2023. 'ShanghaiRanking's Global Ranking of Sport Science Schools and Departments is …
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Decision tree methodology is a commonly used data mining method for establishing classification systems based on multiple covariates or for developing prediction algorithms for a target variable. This method classifies a population into branch-like segments that construct an inverted tree with a root node, internal nodes, and leaf nodes.
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Cells: = −1 + tanh( + h h −1 + ) Output gates: = ( + h h −1 + + ) Cell Outputs: h = tanh. where σ is the activation function, and i, f, o and c are respectively the input gate, forget gate, output gate and memory cell. As shown in Figure 2, the network contained two sub-networks for the left and right sequence context.
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In this paper, a novel support vector machine model with feature mapping is proposed. Feature mapping is achieved based on the equivalence of the recently proposed soft quadratic surface support vector machine. In this model, a technique for pre-selecting training points is initially utilized to improve robustness.
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An intriguing feature of the Shanghai Wu dialect classifier system is that it possesses two general classifiers: -i^/ga?1/ and H/tsa?5/. In this article, we set out to tease apart the differences in their frequency and usage and to …
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Introduction to Multi-nomial Naive Bayes. As we saw in Naive Bayes, it is a simple technique for constructing binary classifiers: models that are able to classify in binary values (0 & 1). A naive Bayes classifier considers each of these features to contribute independently. A Multinomial Naive Bayes is able to perform a lot of complexer tasks.
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Epithelial ovarian cancer (EOC) is the most lethal gynecological malignant tumor. Endoplasmic reticulum (ER) stress plays an important role in the malignant behaviors of several tumors. In this study, we established a risk classifier based on 10 differentially expressed genes related to ER stress to …
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26 rows2021 Academic Ranking of World Universities. The Academic Ranking of World Universities (ARWU) was first published in June 2003 by the Center for World-Class …
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(part-time) PI at Shanghai AI Lab. (since Jan. 2020) Research work experiences at SenseTime Group, Google Research and Microsoft Research. (before 2020) …
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Maritime anomaly detection is a key technique in intelligent vessel traffic surveillance systems and implementation of maritime situational awareness. In this paper, we propose a method which combines vessel trajectory clustering and Naïve Bayes classifier to detect anomalous vessel behaviour in the maritime surveillance system.
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The GRAS rankings use a range of objective acadamic indicators and third-party data to measure the performance of world universities in respective subjects, including research output (Q1), research influence (CNCl), …
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Based on deep learning and somatic point mutation data, we devise DeepGene, an advanced cancer type classifier, which addresses the obstacles in existing SMCC studies. Experiments indicate that DeepGene outperforms three widely adopted existing classifiers, which is mainly attributed to its deep learning module that is able to extract …
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