Beyond Binary Classification - A Course in Machine Learning

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Automated Vision-Based Detection of Cracks on Concrete Surfaces ...

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Costing - Machine Learning (Theory)

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Costing - Machine Learning (Theory)

classification costs into account do not perform well. In extreme cases ... trary classification learning algorithms into cost-sensitive ones [2]. .... Support vector machines are not easily ..... plies to the theory as well as to concrete algorithms. Thus,.

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The security of machine learning - People @ EECS at UC Berkeley

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The Cost of Fairness in Binary Classification - Proceedings of ...

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Learning Cost-Sensitive Active Classifiers - Cognitive Computation ...

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Creating Your First Machine Learning Classifier with Sklearn

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Applying Cost-Sensitive Extreme Learning Machine and ... - Hindawi

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Cost-Aware Early Classification of Time Series - HAL-SHS

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Applying Cost-Sensitive Extreme Learning Machine and ... - Hindawi

Jul 26, 2016 ... By considering misclassification and rejection cost, the classifiers ... In 2004, Huang et al. first proposed the extreme learning machine as a...

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“Why Should I Trust You?” Explaining the Predictions of Any Classifier

Whether humans are directly using machine learning classifiers as tools, ... classroom use is granted without fee provided that copies are not made or distributed.

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Classifier - XP4®i | Magotteaux

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Machine learning classifiers and fMRI: a tutorial overview - NCBI

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2018 Standard Occupational Classification System

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Cost-Aware Early Classification of Time Series - HAL-SHS

Jun 29, 2016 ... Conference on Machine Learning and Principles and Practice of Knowledge Discovery, Sep 2016, Riva del Garda ... between classification accuracy and the cost of delaying the decision was proposed ... a concrete example.

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“Why Should I Trust You?” Explaining the Predictions of Any Classifier

Whether humans are directly using machine learning classifiers as tools, ... classroom use is granted without fee provided that copies are not made or distributed.

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The Basics of Classifier Evaluation: Part 1

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Adaptive Classification for Prediction Under a Budget - NIPS ...

Resource costs arise during test-time prediction in a number of machine learning applications. ... rect classification given x for a HPC model is in general ..... To be concrete, we instantiate our general framework (OPT) into two algorithms via...

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Classification Algorithms in Machine Learning… – Data Driven ...

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ADVANCED NEURAL NETWORK AND MACHINE ... - ETD (OhioLINK)

Rafiei, M.H. and Adeli, H. (2017), A Machine Learning Based Algorithm to. Detect Damage in ..... A New Model for Minimum Cost Mix Design of Concrete .

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On the Optimality of the Simple Bayesian Classifier under Zero-One ...

ical results on the Bayesian classifier in the machine learning literature, and .... 1993), instance-based learning (PEBLS 2.1, Cost & Salzberg, 1993) and rule induction ..... of this section is dedicated to investigating more concrete conditions.

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Air Classifiers » Products » CEMTEC - Cement and Mining ...

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Logistic Regression for Machine Learning - Machine Learning Mastery

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Air Classifier | Eskens B.V.

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Cost-Aware Early Classification of Time Series - HAL-SHS

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1.5. Stochastic Gradient Descent — scikit-learn 0.21.0 documentation

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Learning Cost-Sensitive Active Classifiers - Cognitive Computation ...

Keywords: learning cost-sensitive classifiers, decision theory, ... To make this more concrete, suppose a “hepatitis” classifier is only initially told that a patient is jaundiced ...... Conference on Machine Learning (IMLC97), Nashville, July 1997.

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MetaCost: A General Method for Making Classifiers Cost-Sensitive ...

Abstract. Research in machine learning, statistics and related fields has produced a wide variety of algorithms for classification. However, most of these...

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Air Classifier Archives - Pit & Quarry

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The Cost of Fairness in Binary Classification - Proceedings of ...

Proceedings of Machine Learning Research 81:1–12, 2018. Conference ... ing classifiers with a fairness constraint in the form of ... two existing fairness measures to cost-sensitive risks. ..... concrete, the literature has studied notions of perfect.

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Classification Algorithms in Machine Learning… – Data Driven ...

Nov 7, 2018 ... Classification is technique to categorize our data into a desired and distinct ... This assumption greatly reduces the computational cost by only...

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Creating Your First Machine Learning Classifier with Sklearn

Jun 4, 2017 ... We go through all the steps required to make a machine learning model from ... intuition, and concrete examples instead of dense mathematical formulas. .... Suppose you want to predict a house's price from a set of features.

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Handling Missing Values when Applying Classification Models

Journal of Machine Learning Research 8 (2007) 1625-1657. Submitted 7/05 .... In practice, a missing value may be obtainable by incurring a cost, such as the ..... As a concrete example, consider the classification tree in Figure 3. Assume that...

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