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Showing 1 to 5 of 5 for “"Persistent Performance"”.

  1. Essays on persistent management skill

    This is a comprehensive study of farm management performance. The rapid growth of farm income and production costs has raised both new questions and warranted revising old questions; these include the existence of persistent management skill, the management strategies and profitability, farm growth …

    uiuc Repository record for Essays on persistent management skill (opens in a new tab)

  2. CLOSUREX: Transforming Source Code for Correct Persistent Fuzzing

    … of specific test case data. The highest performance approach is persistent fuzzing, which reuses a single process for all test cases by looping back to the start instead of exiting. This eliminates all process initialization and tear-down costs. Unfortunately, persistent fuzzing leads to …

    vt Repository record for CLOSUREX: Transforming Source Code for Correct Persistent Fuzzing (opens in a new tab)

  3. Deep Learning for Short-Term Spatiotemporal Prediction of Shared Dockless E-Scooter Demand: Grid-Based Representation, Temporal Input Design, and Day-Type-Aware Model Benchmarking

    … the UNET bottleneck yields the most consistent performance across prediction horizons, yet prediction remains less consistent across day-types, particularly on weekends. This persistent performance gap shows that historical demand and architectural enhancements alone are insufficient for …

    calgary Repository record for Deep Learning for Short-Term Spatiotemporal Prediction of Shared Dockless E-Scooter Demand: Grid-Based Representation, Temporal Input Design, and Day-Type-Aware Model Benchmarking (opens in a new tab)

  4. Efficient Bayesian Nonparametric Methods for Model-Free Reinforcement Learning in Centralized and Decentralized Sequential Environments

    … and with time efficiency. Moreover, to ensure persistent performance improvement for RL, it is important that the control policies be concisely represented based on existing knowledge, and have the flexibility to accommodate new experience. Bayesian nonparametric methods (BNPMs) both allow the …

    duke Repository record for Efficient Bayesian Nonparametric Methods for Model-Free Reinforcement Learning in Centralized and Decentralized Sequential Environments (opens in a new tab)

  5. Evaluating Hybrid Quantum-Classical Models for Image Classification in the NISQ Era

    … empirical evaluation of quantum machine learning performance under noisy intermediate-scale quantum (NISQ) era constraints. Through 670 controlled experiments, it evaluated quantum kernel support vector machines and variational quantum classifiers against classical baselines on MNIST binary and …

    columbus-state Repository record for Evaluating Hybrid Quantum-Classical Models for Image Classification in the NISQ Era (opens in a new tab)