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 13 of 13 for “"Categorical features"”.
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Perceived Similarity Between Complex Sounds: The Contribution Of Acoustic, Descriptive And Categorical Features
… of the most salient acoustic and descriptive features employed in listeners' representations of sounds focussing on similarity judgements. A range of descriptive data (including word pair and imagery/word use) was collected alongside acoustic measures for the sound stimuli employed. The sounds …
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Large Margin Random Forests On Mixed Type Data
… representation. They can be represented by features such as sequence length and physical-chemical properties. They can also be represented by pairwise similarities, gene expression levels, and phylogenetics position. Hence, the types vary from numerical features to categorical features. An …
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DPLearn: an effective but concise learning framework based on discriminative patterns
… build high-order interactions between different features and also handle both numerical and categorical features as well as high dimensional features. By taking the advantage of both modeling methodologies, a natural and effective way is proposed to resolve pattern-based learning tasks by …
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A Topology-Guided Diffusion Process for Synthetic Tabular Data Generation
… this setting: (1) mixed continuous and discrete features and (2) strong hierarchical dependencies among variables. To handle categorical features, we build upon recent advancements in discrete diffusion, particularly TabDDPM [1] and TabDiff [2], which discretize the diffusion process through …
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Optimizing Machine Learning Performance on Tabular Clinical Data: A Pipeline Approach
… by a complex interplay of numerical and categorical features, often leading to intricate, non-linear dependencies that hinder traditional analysis and model efficacy. Confronting inherent issues like data scarcity, imbalance, noise, and sensitivity, this work introduces a comprehensive, …
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An intrusion detection system for DDoS flooding attacks on IPv6 networks using deep learning techniques
… real attacks traffic that contains 96 extracted features, the generated IPv6-DDoS dataset where had been collected by capturing attacks packets can be converted into network flows that contain rich metadata about the statistics of each flow, which are composed of the captured packet data. These …
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A computational memory and processing model for prosody
… mapped to the remainder of the continuous and categorical features of pitch and timing, producing prosody in three different styles: for small recall values, the exaggerated and sing-song melodies of children's speech; for mid-range values, an adult expressive style; for the largest values, the …
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soMLier: A South African Wine Recommender System
… the efficacy of content-based systems. Numeric features (such as price) are compared along with categorical features (such as style) using various distance measures and the relationships between the textual descriptions of the wines are determined using natural language processing methods. These …
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An Empirical investigation into software effort estimation by analogy
… are characterised in terms of collectable features (such as the number of screens or the size of the functional requirements) and stored in a historical case base as they are completed. Once a case base of sufficient size has been cultivated, new projects can be estimated by finding similar …
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Contributions for Handling Big Data Heterogeneity. Using Intuitionistic Fuzzy Set Theory and Similarity Measures for Classifying Heterogeneous Data
… for the same feature(attribute) or different features and can be identified mainly by one of the following data types: real-valued, crisp and linguistic values. The increasing variety and ambiguity of such data are particularly challenging to process and to build accurate machine learning …
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Exploring the social innovation orientation of corporate social responsibility practitioners
… as non-linear, it was revealed that some categorical features and linearity did exist.
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Language Reasoning by means of Argument Mining and Argument Quality
… F1-score through integrating Bert with encoded categorical features. Beyond our theoretical and methodological proposals, our model of argument quality assessment, annotated corpora, and evaluation approaches are publicly available, and can serve as strong baselines for future work in both …
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Coupled similarity analysis in supervised learning
… classification algorithms. When calculating the categorical data similarity, the strategy used by the traditional classifiers often overlooks the inter-relationship between different data attributes and assumes that they are independent of each other. This can be seen, for example, in the overlap …