1. KullbackLeibler divergence - Wikipedia


    where the latter stands for the usual convergence in total variation. Following Rényi (1970, 1961) Fisher information metric. The KullbackLeibler divergence is ...

  2. The Easiest Back-Testing of Trading Strategies: MS


    Before using specialized tools for back-testing I propose that one tries the MS Excel Pivot Table first. The pivot table tool is great for inspection, filtering and ...

  3. Comprehensive List of Free Historical Market Data Sources ...


    Often people ask me where they can find historical data of stock prices, commodities, interest-rates, bonds, fx rates ... . In previous posts, we already looked at ...

  4. Macrobond Help | Built-in formula functions


    Mathematical functions. Abs(value) Returns the absolute value. Acos(value) Returns the angle whose cosine is the specified value. The angle is expressed in radians.

  5. SIMD < SIMT < SMT: parallelism in NVIDIA GPUs


    Programmable NVIDIA GPUs are very inspiring to hardware geeks, proving that processors with an original, incompatible programming model can become widely used.

  6. Human eye - Wikipedia


    The human eye is an organ which reacts to light and pressure. As a sense organ, the mammalian eye allows vision. Human eyes help provide a three dimensional, moving ...

  7. Engineering - Mullana


    MMU offers various engineering courses in Biotechnology, Civil Engineering, Electrical Engineering, Computer Science & Engineering etc. Apply now for admissions!

  8. Online dictionary learning for sparse coding


    Sparse coding---that is, modelling data vectors as sparse linear combinations of basis elements---is widely used in machine learning, neuroscience, signal processing ...

  9. Courses of Study | IIT Gandhinagar


    CE 201 : Earth Materials and Processes (203-4) Earth Materials: Structure of Solid Earth, Rock cycle, Common rock forming minerals, Types of rocks and its ...

  10. How Kalman Filters Work, Part 1 | An Uncommon Lab


    This articles describes how Kalman filters and other state estimation techniques work, focusing on building intuition and pointing out good implementation techniques.