Confusion Matrices
Feature Dependent Confusion Matrices for Low Resource NER Labeling with Noisy Labels
... the confusion be- tween clean and noisy labels in this additional training data into the classifier ...ferent confusion matrices for each ...pre-initialized confusion matri- ...other ...
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Vowel Classification based on LPC and ANN
... The vowel classification results were obtained using the generated database. 10 features from each vowel have been extracted using LPC. Total 75 samples are used for pattern recognition.75 samples are classified into 5 ...
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Confusion Theory And Assessment
... all confusion matrices having these same row and column ...original confusion matrix ...original confusion matrix differs from what might be expected by pure ...
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Pronunciation Adaptation For Disordered Speech Recognition Using State Specific Vectors of Phone Cluster Adaptive Training
... posing confusion matrix along with the lexicon and language models in the WFST framework provides complementary infor- mation to the ...form confusion matrices to be used with ...form ...
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Multiscale texture classification using dual tree complex wavelet transform
... The confusion matrices for the DWT are shown in Table 3 for the two test sets of images. The results when compared with those of the DT-CWT based classifier (as shown in Table 2) show that the discrim- ...
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Automatic Classification by Topic Domain for Meta Data Generation, Web Corpus Evaluation, and Corpus Comparison
... leads to a situation in which the classifier simply assigns most documents to Life and Leisure and the rest mostly to Politics and Society. This indi- cates that for such skewed distributions of topic domains, larger ...
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Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing
... worker confusion matrices for multi-class labeling ...worker confusion matrices using a spectral method, and then in the second stage we turn to the EM ...the confusion matrix of each ...
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A Bayesian Approach for Sequence Tagging with Crowds
... Sheshadri and Lease (2013) benchmarked several aggregation models for non-sequential classifica- tions, obtaining the most consistent performance from that of Raykar et al. (2010), who model the reliability of individual ...
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Automated Classification of Lung Diseases in Computed Tomography Images Using a Wavelet Based Convolutional Neural Network
... The three confusion matrices shown in Table 3 were used for comparison of classification accuracy for CNN+SVM method, conventional transfer learning method and the proposed method using [r] ...
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Deficits in facial, body movement and vocal emotional processing in autism spectrum disorders
... Confusion matrices for the control and autistic spectrum disorder ASD groups for the Face, Body Movement and Voice Emotion Label tasks Control group response.. ASD group response.[r] ...
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Whisker texture classification with uncertain contact pose geometry
... Spectral template based classifier results for angle, speed and texture discrimination Figure 5 shows the confusion matrices for simultaneous angle, speed and texture classification usin[r] ...
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A Database for Automatic Persian Speech Emotion Recognition: Collection, Processing and Evaluation
... The confusion matrices of classifying 5 emotions on PDREC and Berlin databases using prosodic features are represented in Table 5 to 8 for females and males, ...
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Comparing classification techniques for identification of grasped objects
... The confusion matrices of the three best classification techniques in both classifier structures used within both scenarios are presented and ...The confusion matrix is used to identify the behaviour ...
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Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach
... Confusion matrices for classi fi ers are depicted in panel a for binary prediction, i.e., presence or absence of a unipolar depression diagnosis at follow-up (major depressive disorder or[r] ...
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Mizrahi and Seidel: Experts in Confusion.
... and confusion over the terms of the debate, and this article, rather than showing either to be wrong in his reasoning, aims to resolve the conflict through exposing that ...
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Undiminished Confusion in Diminished Capacity
... tied to introduce competent and relevant evidence to disprove any ele5 14 ment of any crime charged subject to few and limited exceptions.' In light of these elementary principles of cri[r] ...
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On crises, contagion, and confusion
... To examine these issues more formally, we constructed three trade clusters, a Latin American bilateral trade cluster which consists of the Mercosur members and Chile; a third-party Asian[r] ...
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On improvements of Fischer’s inequality and Hadamard’s inequality for K0 matrices
... All matrices considered in this paper are real. For an n × n matrix A, α, β ⊆ n = {, , . . . , n}, the submatrix of A lying in rows indexed by α and the columns indexed by β will be denoted by A[α, β ]. If α = ...
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orecchia.pdf
... Highlights of Previous Work Direct solvers for general matrices Direct solvers for general matrices Iterative methods for PSD matrices Iterative methods for PSD matrices Conjugat[r] ...
149
Price Competition and Consumer Confusion
... This paper proposes a model in which identical sellers of a homogenous prod- uct compete in both prices and price frames (i.e., ways to present price informa- tion). We model price framing by assuming that fi rms’ frame ...
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