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 12 of 12 for “"feature interactions"”.
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Feature Interactions in Configurable Software Systems
… remain. One of these challenges is the feature interaction problem that arises when parts (features), from which a configurable system is composed, interact in unexpected ways, and inadvertently change the behavior or quality attributes (such as performance) of the system. The goal of …
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Feature interactions detection in intelligent networks
… negative and unexpected manner. This is known as feature interaction (FI) problem. In this thesis, a new pragmatic approach for feature interaction detection is proposed. A pragmatic method for FI detection is based on the gained experience from the study of the known FIs. In this approach, the …
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Specification and detection of feature interactions using MSCs
… introduced into the network, a new problem of interactions between various services/features, becomes more prominent. This problem arises when multiple services or features interfere with each other and produce unexpected results, which disturb the users. This thesis presents my work in …
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Model Compression and AutoML for Efficient Click-Through Rate Prediction
… a new compression-based AutoML method for feature set generation in architectures which incorporate explicit feature interactions. This works as a tool to build efficient recommender system models, and is applicable to many state of the art model designs. Applying this AutoML shows initial …
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Définition et détection des interactions entre les fonctionnalités d'un système téléphonique
Le problème des interactions entre les services téléphoniques a pris beaucoup d'ampleur depuis quelques années. En effet, les services sont en pleine croissance (quelques systèmes offrent plus de 800 services). Plusieurs chercheurs à travers le monde travaillent actuellement à résoudre ce problème. …
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Explainable AI: A Unified Approach Based on Cooperative Game Theory
… of machine learning (ML) models, yet existing feature-based explanation methods remain fragmented across local and global approaches. This thesis presents a unified framework based on cooperative game theory to systematically characterize and distinguish feature-based explanations. By …
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Modeling of intelligent networks using SDL and an approach for feature interaction detection
Features are novel telecommunication functions that are provided to users as individual commercial offerings. Intelligent Network (IN) is a new network framework proposed by ITU-T (International Telecommunication Union) in order to enable fast and cost-effective introduction of a large number of …
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Cause-effect validation of requirements for distributed systems.
… has been validated by case studies of telephony features. In these case studies, we give some examples of instances of undesirable scenarios, such as feature interactions, which were derived directly from customer specifications, thus demonstrating that major problems in requirements definitions …
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An orthogonal framework for fault tolerance composition in software systems
… such as complexity and potential undesirable feature interactions. This thesis presents an orthogonal fault tolerance framework for the composition of design diversity fault tolerance mechanism with the base system. It further ensures the separation of concerns between the ‘base’ system and …
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Features Interaction Detection and Resolution in Smart home systems Using Agent-Based Negotiation Approach
… they are deployed, exposes them to undesirable interactions between services, known as Feature Interaction (FI). Another reason for FI is the divergence between the policies, needs and desires of different residents. Proposed approaches to FI detection and resolution should take these different …
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Next-Generation Intelligent Portfolio Management
… To address this, one idea is to consider features univariately, omitting feature interactions to maintain interpretability. The Univariate Flagging Algorithm (UFA) identifies optimal cut points for each feature, flags them, and summarizes them to lower dimensions for each sample. We …
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An Interpretable Multimodal Framework for Regional Organ Transplantation Outcomes
… suggest that increasing the number of text features, extending training epochs, and incorporating explicit numerical values led to improved model performance in Region 3. In Regions 1 and 2, the baseline model outperformed the TabText model, suggesting that data sparsity in these regions may …