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    • Best practices for custom classifiers in Watson Visual Recognition .

      Oct 24, 2016 . Powering many of these use cases are custom classifiers, a feature . reputation, carelessness, or other problems of the human condition.

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    • Sentiment Analysis: nearly everything you need to know .

      Currently, sentiment analysis is a topic of great interest and development since it has .. The first step in a machine learning text classifier is to transform the text into a Research your competition and understand how their reputation also.

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    • Detecting Spammers with SNARE: Spatio temporal . Usenix

      sender reputationnotably, IP blacklistsare cumber some to . an automated reputation engine, SNARE, based on these tures to build the best classifier.

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    • Comparative Analysis of Random Forest, REP . Semantic Scholar

      REP Tree applies regression tree logic and generates multiple trees in altered iterations. Afterwards it picks best one from all spawned trees. This algorithm.

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    • IP Reputation Change Request BrightCloud

      To request a review of the category and reputation of a URL or IP, please fill out and submit this quick form. You may recommend a category for a URL by.

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    • Tweet Enrichment for Effective Dimensions Classification in . Core

      Classification in Online Reputation Management. Graham McDonald, Romain .. achieved the best accuracy results in the RepLab 2014 task (McDonald et al.

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    • Tweet Enrichment for Effective Dimensions Classification in . Core

      Classification in Online Reputation Management. Graham McDonald, Romain .. achieved the best accuracy results in the RepLab 2014 task (McDonald et al.

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    • Do we Need Hundreds of Classifiers to Solve Real World .

      Specifically, some classifiers with a good average performance over a .. the antecedent information gain to classify each test pattern, and 3 fold REP (see.

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    • Find the Best Path: an Efficient and Accurate Classifier for Image .

      node, a classifier separates the classes into smaller subsets . Detail of our model rep resentation . These methods typically show good classification accuracy.

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    • Twitter Sentiment to Analyze Net Brand Reputation . CyberLeninka

      This paper addresses this issue by measuring brand reputation based on .. classifier that gives the best accuracy was used to measure the brand reputation.

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    • Comparing writing style feature based classification methods for .

      Mar 2, 2016 . Under varying ways of defining Good and Bad classes of user reputations based on the collected data, it evaluates the classification.

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    • Do we Need Hundreds of Classifiers to Solve Real World .

      Specifically, some classifiers with a good average performance over a .. the antecedent information gain to classify each test pattern, and 3 fold REP (see.

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    • Hierarchical Learning for Automated Malware Classification Microsoft

      hierarchical learning algorithms for automated classification of malicious . To the best of our knowledge, this is the first .. We next constructed the feature rep .

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    • Reputation Based Approach for Spam Filtering Whitepaper .

      Reputation Based Approach for Efficient Filtration of Spam .. The accuracy cost is also high because address based classification is susceptible to address.

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    • Automatic discrimination between safe and unsafe swallowing using .

      Nov 15, 2011 . Given its computational efficiency and high sensitivity, reputation based classification of dual axis accelerometry ought to be considered in.

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    • How a simple algorithm classifies texts with moderate accuracy

      Dec 14, 2017 . This is a good thing because training these classifiers dose not . in terms of the company's reputation for excellent home delivery products"].

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    • Reputation Based Approach for Spam Filtering Whitepaper .

      Reputation Based Approach for Efficient Filtration of Spam .. The accuracy cost is also high because address based classification is susceptible to address.

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    • Comparing writing style feature based classification methods for .

      Mar 2, 2016 . Under varying ways of defining Good and Bad classes of user reputations based on the collected data, it evaluates the classification.

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    • Sentiment analysis as reputational risk indicator Nfq

      Jun 2, 2017 . good or bad reputations moves for banking, along as a list of . The idea of using a text classifier lies on the concept of sentiment analysis.

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    • Comparative Analysis of Random Forest, REP . Semantic Scholar

      REP Tree applies regression tree logic and generates multiple trees in altered iterations. Afterwards it picks best one from all spawned trees. This algorithm.

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    • Twitter Sentiment to Analyze Net Brand Reputation . CyberLeninka

      reputation analysis of three well known mobile providers in Indonesia. .. classifier that gives the best accuracy was used to measure the brand reputation.

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    • What are your strategies for selecting train data for supervised land .

      To train this classifier a set of reference data is required. .. with the highest accuracy this will give you a good estimate of the classification accuracy.

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    • Machine Learning for Public Administration Research, with . arXiv

      Sep 12, 2018 . ganizational reputation in federal agencies through an illustrated and how good a classifier is at detecting positive class labels (recall).

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    • Random Bits Forest: a Strong Classifier/Regressor for Big Data .

      Jul 22, 2016 . As a solution, we present Random Bits Forest (RBF), a classification and regression algorithm that integrates neural networks (for depth),.

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    • Find the Best Path: an Efficient and Accurate Classifier for Image .

      node, a classifier separates the classes into smaller subsets . Detail of our model rep resentation . These methods typically show good classification accuracy.

      Live Chat
    • How a simple algorithm classifies texts with moderate accuracy

      Dec 14, 2017 . This is a good thing because training these classifiers dose not . in terms of the company's reputation for excellent home delivery products"].

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    • Sentiment Classification Using Word Sub . Semantic Scholar

      review datasets, our classifiers obtained the best results yet published . document sentiment classification technology can provide quantitive reputation.

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    • Best practices for custom classifiers in Watson Visual Recognition .

      Oct 24, 2016 . Powering many of these use cases are custom classifiers, a feature . reputation, carelessness, or other problems of the human condition.

      Live Chat
    • Sentiment Classification Using Word Sub . Semantic Scholar

      review datasets, our classifiers obtained the best results yet published . document sentiment classification technology can provide quantitive reputation.

      Live Chat
    • Machine Learning Algorithms for Classification Princeton CS

      problem: identify people as good or bad from their appearance sex mask cape tie ears smokes class . A Decision Tree Classifier tie good yes no yes no bad bad cape smokes yes no good .. (demo, sales rep, pricing info, yes, no, etc.).

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