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  2. Multiplicative weight update method - Wikipedia

    en.wikipedia.org/wiki/Multiplicative_Weight...

    The hedge algorithm is similar to the weighted majority algorithm. However, their exponential update rules are different. [ 2 ] It is generally used to solve the problem of binary allocation in which we need to allocate different portion of resources into N different options.

  3. Medical research - Wikipedia

    en.wikipedia.org/wiki/Medical_research

    Cell culture vials The University of Florida Cancer and Genetics Research Complex is an integrated medical research facility.. Medical research (or biomedical research), also known as health research, refers to the process of using scientific methods with the aim to produce knowledge about human diseases, the prevention and treatment of illness, and the promotion of health.

  4. Boosting (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Boosting_(machine_learning)

    Misclassified input data gain a higher weight and examples that are classified correctly lose weight. [note 1] Thus, future weak learners focus more on the examples that previous weak learners misclassified. An illustration presenting the intuition behind the boosting algorithm, consisting of the parallel learners and weighted dataset

  5. Iron Triangle of Health Care - Wikipedia

    en.wikipedia.org/wiki/Iron_Triangle_of_Health_Care

    Increasing or decreasing one results in changes to one or both of the other two. For example, a policy that increases access to health services would lower quality of health care and/or increase cost. The desired state of the triangle, high access and quality with low cost represents value in a health care system. [3]

  6. Multi-objective optimization - Wikipedia

    en.wikipedia.org/wiki/Multi-objective_optimization

    Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.

  7. Bootstrapping (statistics) - Wikipedia

    en.wikipedia.org/wiki/Bootstrapping_(statistics)

    A key result in Efron's seminal paper that introduced the bootstrap [4] is the favorable performance of bootstrap methods using sampling with replacement compared to prior methods like the jackknife that sample without replacement. However, since its introduction, numerous variants on the bootstrap have been proposed, including methods that ...

  8. Evidence-based design - Wikipedia

    en.wikipedia.org/wiki/Evidence-based_design

    Evidence-based design (EBD) was popularized by the seminal study by Ulrich (1984) that showed the impact of a window view on patient recovery. [3] Studies have since examined the relationships between design of the physical environment of hospitals with outcomes in health, the results of which show how the physical environment can lower the incidence of nosocomial infections, medical errors ...

  9. Hedge fund - Wikipedia

    en.wikipedia.org/wiki/Hedge_fund

    Hedge funds can be considered risky investments; the expected returns of some hedge fund strategies are less volatile than those of retail funds with high exposure to stock markets because of the use of hedging techniques. Research in 2015 showed that hedge fund activism can have significant real effects on target firms, including improvements ...