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  2. Data loss prevention software - Wikipedia

    en.wikipedia.org/wiki/Data_loss_prevention_software

    Data loss prevention (DLP) software detects potential data breaches/data exfiltration transmissions and prevents them by monitoring, [1] detecting and blocking sensitive data while in use (endpoint actions), in motion (network traffic), and at rest (data storage). [2] The terms "data loss" and "data leak" are related and are often used ...

  3. Mean absolute percentage error - Wikipedia

    en.wikipedia.org/wiki/Mean_absolute_percentage_error

    Help; Learn to edit; Community portal; Recent changes; Upload file; Special pages

  4. Education in Malaysia - Wikipedia

    en.wikipedia.org/wiki/Education_in_Malaysia

    Education in Malaysia is overseen by the Ministry of Education (Malay: Kementerian Pendidikan).Although education is the responsibility of the Federal Government, each state and federal territory has an Education Department to co-ordinate educational matters in its territory.

  5. Regularization (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Regularization_(mathematics)

    [5] [page needed] A theoretical justification for regularization is that it attempts to impose Occam's razor on the solution (as depicted in the figure above, where the green function, the simpler one, may be preferred). From a Bayesian point of view, many regularization techniques correspond to imposing certain prior distributions on model ...

  6. Digital light processing - Wikipedia

    en.wikipedia.org/wiki/Digital_Light_Processing

    Logo The Christie Mirage 5000, a 2001 DLP projector. Digital light processing (DLP) is a set of chipsets based on optical micro-electro-mechanical technology that uses a digital micromirror device. It was originally developed in 1987 by Larry Hornbeck of Texas Instruments. While the DLP imaging device was invented by Texas Instruments, the ...

  7. Omega ratio - Wikipedia

    en.wikipedia.org/wiki/Omega_ratio

    The standard form of the Omega ratio is a non-convex function, but it is possible to optimize a transformed version using linear programming. [4] To begin with, Kapsos et al. show that the Omega ratio of a portfolio is: = ⁡ ⁡ [() +] + The optimization problem that maximizes the Omega ratio is given by: ⁡ ⁡ [() +], ⁡ (), =, The objective function is non-convex, so several ...