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Confusion matrix
CMPSCI 585 Programming Assignment 1 Spam Filtering Using Naive Bayes
Using Machine Learning to Improve Dense and Sparse Matrix Multiplication Kernels
Arxiv:1902.03680V3 [Cs.LG] 17 Jun 2019 1
Performance Metric Elicitation from Pairwise Classifier Comparisons Arxiv:1806.01827V2 [Stat.ML] 18 Jan 2019
MASTER TP^ Ostrlbunon of THIS DOCUMENT IS UNL.M.TED Kaon Content of Three-Prong Decays of the Tan Lepton
Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance
A Generalized Hierarchical Approach for Data Labeling Zachary D. Blanks
PREDICTING ACADEMIC PERFORMANCE of POTENTIAL ELECTRICAL ENGINEERING MAJORS a Thesis by SANJHANA SUNDARARAJ Submitted to the Offi
Jets + Missing Energy Signatures at the Large Hadron Collider
Multiple Classifier Systems Incorporating Uncertainty
Classifier Uncertainty: Evidence, Potential Impact, and Probabilistic Treatment
Evaluating Prediction Strategies in an Enhanced Meta-Learning Framework
A Comparative Study on Human Action Recognition Using Multiple Skeletal Features and Multiclass Support Vector Machine
About the Pitfall of Erroneous Validation Data in the Estimation of Confusion Matrices
An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm
Measurement of the Inclusive and Differential T-Channel Single Top Quark Production Cross Section at 13 Tev with the CMS Experiment
Clustering Confusion Matrices to Identify Avatar Aliases Olivier Cavadenti, Victor Codocedo, Jean-François Boulicaut, Mehdi Kaytoue
A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion
Top View
INF 4300 - Exercise for Friday 05.11.2010 Using Data Efficiently
A Neurodynamics-Based Nonnegative Matrix Factorization Approach Based on Discrete-Time Projection Neural Network
Confusion Matrix Diagrams
Analysis of Multibody Beautyto Open-Charm Decays at Lhcb
Classification
Sparse Sensing and DMD-Based Identification of Flow Regimes and Bifurcations in Complex Flows
Do Convolutional Neural Networks Learn Class Hierarchy?
Arxiv:1809.06846V4 [Cs.CV] 12 Mar 2019 Rate
Performance Measures in Classification
Sparse Machine Learning Methods with Applications in Multivariate Signal Processing
Learning of Decision Fusion Mappings for Pattern Recognition
The Advantages of the Matthews Correlation Coefficient (MCC) Over F1 Score and Accuracy in Binary Classification Evaluation Davide Chicco1,2* and Giuseppe Jurman3
Analysis of Thematic Similarity Using Confusion Matrices
Learning of Decision Fusion Mappings for Pattern Recognition Abstract 1 Introduction
EEG-Derived Phoneme Confusion Matrices Show the Fit Between Phonological Feature Systems and Brain Responses to Speech
Lawrence Berkeley National Laboratory Recent Work
An Experimental Analysis of Attack Classification Using Machine Learning in Iot Networks
Learning Noise Transition Matrix from Only Noisy Labels Via Total Variation Regularization
Early Detection of Neurodegenerative Diseases from Bio-Signals: a Machine Learning Approach
Machine-Learning Based Prediction of Cushing's Syndrome in Dogs
Statistical Evaluation of Anomaly Detectors for Sequences
Performance Analysis of Distance Measures in K-Nearest Neighbor
From Confusion Noise to Active Learning: Playing on Label Availability in Linear Classification Problems
Confusion Matrix
Learning from Crowds by Modeling Common Confusions
PART 1: Making and Evaluating Predictions
A Data-Driven Study of Image Feature Extraction and Fusion
Probabilistic Confusion Entropy for Evaluating Classifiers
Search for Rare B to Open-Charm Two-Body Decays of Baryons at Lhcb
Tools and Algorithms in Bioinformatics Database Searching
A Matlab Toolbox for M/EEG Classification and Visualization of Proximity Matrices
Analysis of Distance Measures in Content Based Image Retrieval by Dr
Spectral Methods Meet EM: a Provably Optimal Algorithm for Crowdsourcing
Spectral Methods Meet EM: a Provably Optimal Algorithm for Crowdsourcing
Identifying Avatar Aliases in Starcraft 2?
Machine Learning Applications for Waveform Analysis
Divide-And-Conquer Matrix Factorization