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.
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Showing 1 to 20 of 1138 for “"classifier"”.
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Binary tree classifier and context classifier
Two methods of designing a point classifier are discussed in this paper, one is a binary decision tree classifier based on the Fisher's linear discriminant function as a decision rule at each nonterminal node, and the other is a contextual classifier which gives each pixel the highest probability …
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L2 Representations and Processing of Chinese Nominal Phrases by Speakers of Classifier and Non-Classifier Languages
… Chinese nominal phrases: The distinction between classifiers and measure words, the incompatibility of numeral classifiers with the collective marker -*men*, discourse and stylistic constraints on dropping *yi* (one) in Chinese number expressions, and the pragmatic constraint on generic *yi*-CL-N. …
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Rewriting the Rules of a Classifier
… between concepts in the network as rules. In classifiers, we rewrite an existing rule in the network as desired, referred to as the rewriting technique. We demonstrate that using our rewriting technique and simple human knowledge about how to classify the world around us, we can generalize …
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Controlling Directions Orthogonal to a Classifier
… to identify directions invariant to a given classifier so that these directions can be controlled in tasks such as style transfer. While orthogonal decomposition is directly identifiable when the given classifier is linear, we formally define a notion of orthogonality in the non-linear case. …
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Advanced adaptive classifier methods for data streams
The exponential growth of the internet has resulted in an overwhelming influx of big data. However, traditional batch learning models face significant obstacles in effectively learning from these vast and constantly evolving data streams and generating up-to-date outcomes. To overcome these …
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Classifier System Learning of Good Database Schema
… thesis presents an implementation of a learning classifier system which learns good database schema. The system is implemented in Java using the NetBeans development environment, which provides a good control for the GUI components. The system contains four components: a user interface, a rule …
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Distributionally robust binary classifier under Wasserstein distance
… perspective to robustify a class of binary classifiers. Our model considers the worst-case distribution within a pre-determined uncertainty ball that centers at the given benchmark distribution with the radius calculated as per the Wasserstein distance. We derive the tractable formulation …
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Robust dynamic symbol recognition : the ClockSketch classifier
I present an automatic classifier for the digitized clock drawing test, a neurological diagnostic exam used to assess patients' mental acuity by having them draw an analog clock face using a digitizing pen. This classifier assists human examiners in clock drawing interpretation by labeling several …
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Multiple classifier combination through ensembles and data generation
… training set when training the component classifiers. The DataBoost approach was evaluated against ten data sets, using both decision trees and neural networks as base classifiers. The experiments show promising results, in terms of overall accuracy when compared to a standard benchmarking …
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Prediction of Social Events Using a Classifier System
… of a technique from artificial intelligence, the classifier system, as a tool for time-series analyses in the social sciences. This technique is intriguing because of its similarity to some processes of evolution and the optimization of living organisms; there is increased interest in such models …
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Theory and Applications of the Aerodynamic Aerosol Classifier
… the past seven decades. The Aerodynamic Aerosol Classifier (AAC) is a relatively new instrument, which selects aerosol particles based on their relaxation times or aerodynamic diameters. This dissertation demonstrates that the novel operating principle of the AAC has the potential to address a …
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A context-sensitive meta-classifier for color-naming
Humans are sensitive to situational and semantic context when applying labels to colors. This is especially challenging for algorithms which attempt to replicate human categorization for communicative tasks. Additionally, mismatched color models between dialog partners can lead to a back-and-forth …
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A branching fuzzy-logic classifier for building optimization
We present an input-output model that learns to emulate a complex building simulation of high dimensionality. Many multi-dimensional systems are dominated by the behavior of a small number of inputs over a limited range of input variation. Some also exhibit a tendency to respond relatively strongly …
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Classifier constructions as procedural signs in American Sign Language
… in sign language literature, been termed classifiers and classifier constructions. I will be approaching them from the pragmatic perspective by applying Relevance Theory to explain their usage as representations that manipulate and modify their referents. The data comes from texts signed …
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Development of a mathematical model of a spiral classifier
Includes bibliographical references.
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Architecture design and simulation for distributed learning classifier systems
… thesis, we introduce the Distributed Learning Classifier System (DLCS) as a novel extension of J. H. Holland's standard learning classifier system. While the standard LCS offers effective real-time control and learning, one of its limitations is that it does not provide a mechanism for allowing …
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Prosthesis control using a nearest neighbor electromyographic pattern classifier
… a nearest neighbor electromyographic pattern classifier was investigated with both a real time microprocessor-based controller and offline computational facilities. Four active electrodes for myoelectric signal amplitude detection were interfaced with a microcomputer for data logging and …
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REAL-TIME CLASSIFIER BASED ON ADAPTIVE COMPETITIVE SELF-ORGANIZING ALGORITHM
… implementation and real-time applications. This classifier considers as unsupervised Neural Network (NN) since it doesn’t have any prior knowledge on input pattern’s classes. The design of this classifier is based on developing an energy function, constructed based on the sum of Lorentzian …
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