Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 44 for “"F-measure"”.
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Gene expression patterns of encapsulated microbial cells
… degrees and with differences in detail. By the measure of enrichment of stress-related Gene Ontology categories, we find that the AqS+g encapsulation more amenable to the cells than CDA and SD encapsulation. We hypothesize that this differential response in the AqS+g encapsulation is related to …
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Chinese word segmentation with a maximum entropy approach
… track, our word segmenter achieved the highest F-measure on 3 of the 4 test corpora, and the second highest F-measure on the fourth test corpus.
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Assessing models for de-identification of Electronic Discharge Summary Using Machine Learning tools
… evaluation metrics were used to compare F-measure, Recall and Precision at token level to determine which Machine Learning model performed best. The Long Short Term Memory was found to outperform both Conditional Random Fields and Random Forest with micro average F-measure, Recall and …
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Biomedical name recognition: A machine learning approach
… V1.1 shows our system achieves 66.5 and 62.5 F-measure respectively. It shows that our system outperforms previous best published system on the same V1.1 by 8.1 F-measure. The major contribution of this thesis lies in its detailed analysis of biomedical names, the rich feature set and the …
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Structured Learning with Inexact Search: Advances in Shift-Reduce CCG Parsing
… and beam search. Second, I present expected F-measure training and show how to derive a globally normalized RNN model, in which beam search is naturally incorporated and used in conjunction with the objective to learn shift-reduce action sequences optimized for the final evaluation metric. …
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A Comparison of Logistic, RIDGE, and LASSO Regression with Heart Failure Risk Data: Effects of Sample Size, Predictor Correlation, and Predictor Weight on Outcome Accuracy
… on the performance of each technique as measured by accuracy and F-measure.</p> <p>In most conditions for the two outcome performance measures (accuracy and F-measure), the highest effect on performances was observed from the predictor variable weight. However, when the weight was low, …
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Doing time : inducing temporal graphs
… topology. Our learning method achieves 83% F-measure in temporal segmentation and 84% accuracy in inferring temporal relations between two segments.
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Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis
… super-pixel algorithm gave the highest average F-measure of 0.745. A nearest neighbor tracker and Kalman tracking method gave the best overall tracking performance with an average F-measure of 0.95. This combination of detection and tracking methods proved to be best suited for this dataset. A …
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Decision tree rule-based feature selection for imbalanced data
… achieve higher Area Under the Curve (AUC) and F-measure. We also compare them with filter-based feature selection approaches, i.e., Chi-Square and F-statistic. The results show that they outperform them but need slightly more computational efforts.
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Intelligent wearables
… rate obtained was 81%, while Recall and F-Measure stood at 60% and 65% respectively. Future work on this study opens the door for further development of such systems that allow for the development of intelligent wearable devices that can be both more easily accessible useful in increasing …
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Theory and Algorithms for Penalization, Graphical Models, and Surrogate Marker Evaluation
… theory, graphical models, and surrogate measures in clinical trials. First, we introduce a general slow rate bound for maximum regularized likelihood estimators in Kullback-Leibler divergence. The result applies to a wide variety of models and estimators where the densities have a convex …
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A de-identifier for electronic medical records based on a heterogeneous feature set
… of up to 1.00, a recall of up to 0.97, and an f-measure of up to 0.98 on a variety of corpora.
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Anomaly detection for environmental noise monitoring
Octave-band sound pressure level is the preferred measure for continuous environmental noise monitoring over raw audio because accepted standards and devices exist, these data do not compromise voice privacy, and thus an octave-band sound meter can legally collect data in public. By setting up an …
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Estudio comparativo de herramientas bioinformáticas para el análisis metagenómico sobre el microbioma humano
… evaluaron parámetros como precisión, recall y F-measure.
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Substitution-based approach for linguistic steganography using antonym
… four parameters, which are precision, recall, f-measure, and accuracy. All the results showed that the proposed approach was very effective and comparable to the existing synonym-based substitution approach.
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Use of Predictive Analytics to Identify Risk of Postoperative Complications among the Women Undergoing the Hysterectomy Surgery for Endometrial Cancer
… The performance of the models was assessed by F-measure, G-mean, and sensitivity as an alternative measure through a 10-fold cross-validation. A model employing PART technique with undersampling gave the best overall performance (F-measure=21.28, G-mean=55.4, and Sensitivity= 60.9) among other …
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Extraction of ontology and semantic web information from online business reports
… recall of 85.91%, precision of 87.16%, and an F-measure of 86.46%. Speed with CAINES was also greater than manually extracting information. Users agree that CAINES quickly and easily extracts unstructured information from financial reports on the EDGAR database.
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Early Diagnosis and Personalised Treatment: Classification Modelling of Immunotherapy Data Utilising Machine Learning and Deep Learning
… Forest performs best with precision, recall, f-measure, accuracy, sensitivity and specificity.
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PASM : a Policy Aware Social Miner
… of their own data. In a user study conducted to measure the performance of PASM in identifying sensitive posts as compared to the study participants, PASM obtained an F-Measure of 84% and an accuracy of 80%. Interestingly, PASM demonstrated a higher recall than precision, a property that was …
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Machine Learning-Based Parameter Validation
… validating simulation models, using disturbance measurements from phasor measurement units (PMU). The technique used employs the Random Forest learning algorithm to find a correlation between specific model parameter changes, and the variations in the dynamic response. Also, the measurements used …
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