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Showing 1 to 20 of 614 for “"Boosting"”.

  1. Robust boosting via convex optimization

    … - zusammengesetzt ist. Die sogenannten Boosting Algorithmen erzeugen iterativ eine gewichtete Summe von Basishypothesen, die gut auf ungesehenen Mustern vorhersagen. Die Arbeit behandelt folgende Sachverhalte: o Die zur Analyse von Boosting-Methoden geeignete Statistische Lerntheorie. …

    potsdam-diss Repository record for Robust boosting via convex optimization (opens in a new tab)

  2. On boosting and noisy labels

    Boosting is a machine learning technique widely used across many disciplines. Boosting enables one to learn from labeled data in order to predict the labels of unlabeled data. A central property of boosting instrumental to its popularity is its resistance to overfitting. Previous experiments …

    mit Repository record for On boosting and noisy labels (opens in a new tab)

  3. Boosting sparse representations for image retrieval

    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.

    mit Repository record for Boosting sparse representations for image retrieval (opens in a new tab)

  4. Boosting application performance using heterogeneous virtual channels

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01

    uiuc Repository record for Boosting application performance using heterogeneous virtual channels (opens in a new tab)

  5. An efficient boosting algorithm for combining preferences

    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.

    mit Repository record for An efficient boosting algorithm for combining preferences (opens in a new tab)

  6. Boosting (in)direct detection of dark matter

    In this thesis, I study the expected direct and indirect detection signals of dark matter. More precisely, I study three aspects of dark matter; I use hydrodynamic simulations to extract properties of weakly interacting dark matter that are relevant for both direct and indirect detection signals, …

    mit Repository record for Boosting (in)direct detection of dark matter (opens in a new tab)

  7. Toward Efficient Automation of Interpretable Machine Learning Boosting

    <p>Developing efficient automated methods for Interpretable Machine Learning (IML) is an important and long-term goal in the field of Artificial Intelligence. Currently the Machine Learning landscape is dominated by Neural Networks (NNs) and Support Vector Machines (SVMs), models which are often …

    central-wash Repository record for Toward Efficient Automation of Interpretable Machine Learning Boosting (opens in a new tab)

  8. Is public debt boosting economic growth in SADC?

    The World Bank estimates that Africa's inadequate infrastructure decreases productivity by around 40 per cent every year and reduces national economic growth by 2 per cent annually. Such disadvantages hinder private sector investment, which is a key driver of job and wealth creation. Financing the …

    cape-town Repository record for Is public debt boosting economic growth in SADC? (opens in a new tab)

  9. Generating memory cytotoxic T lymphocytes through repetitive peptide boosting

    … we explore nonconventional alternatives, such as boosting without vectors. We show here that repetitive intravenous boosting with peptide and adjuvant generates memory CD8 T cells of sufficient quality and quantity to protect against infection in mice. The resulting memory CTLs possess a unique …

    maryland Repository record for Generating memory cytotoxic T lymphocytes through repetitive peptide boosting (opens in a new tab)

  10. Boosting static timing analysis with programming and algorithmic approaches

    The increasing complexity in digital design has spurred demand for faster design closure. As a primary timing measurement tool frequently used in design stage and optimization stage, static timing analysis has become one of the major performance bottlenecks in digital design. We study a novel …

    uiuc Repository record for Boosting static timing analysis with programming and algorithmic approaches (opens in a new tab)

  11. Boosting Biodetection Signals via Photopolymerization: Strategies for Photocatalyst Amplification

    Photopolymerization-based signal amplification (PBA) is a method to enhance biodetection signals by coupling molecular recognition events with photocatalyst labels (eosin Y) and amplifying through visible light-initiated free radical polymerization. Leveraging inherent amplification in the radical …

    mit Repository record for Boosting Biodetection Signals via Photopolymerization: Strategies for Photocatalyst Amplification (opens in a new tab)

  12. Feasibility of selective multiple boosting in the planning of intracranial radiation therapy

    … treatments. The term ‘selective multiple boosting’ (SMB) is adopted for the proposed planning scheme. Physical control over local dose deposition is characterised and quantified through the design of two pseudo-anatomy models. The models show that intra-structural optimisation is easily …

    hull Repository record for Feasibility of selective multiple boosting in the planning of intracranial radiation therapy (opens in a new tab)

  13. Boosting Three Dog Bakery’s Social Media Presence Through Short-Form Vertical Videos

    <p>This professional project explores how consistent, short-form vertical video content can enhance the social media performance of Three Dog Bakery, a boutique pet store in Columbus, Georgia. As the bakery’s social media manager, I implemented a one-month video campaign using storytelling-based, …

    columbus-state Repository record for Boosting Three Dog Bakery’s Social Media Presence Through Short-Form Vertical Videos (opens in a new tab)

  14. Estimating End-User Throughput Using Service Provider Cell Traces Via Gradient Boosting

    … consequently, we build a Regularized Gradient Boosting model to predict the user's throughput using traces that are exclusively collected from the service provider's resources. Our approach shows that using our imputing and prediction approaches, we can accurately estimate the user equipment's …

    carleton Repository record for Estimating End-User Throughput Using Service Provider Cell Traces Via Gradient Boosting (opens in a new tab)

  15. From data to decision : boosting for time-constrained detection of objects in moving video

    … cascade of classifiers trained using the popular boosting algorithm, RealBoost, is adopted as the baseline system for our research, with novel improvements building upon this framework. The approach attempts to follow the full throughput of such systems, starting from the input training data, …

    aus-cath Repository record for From data to decision : boosting for time-constrained detection of objects in moving video (opens in a new tab)

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