CONTACT US

Our Address

Science Avenue, High-tech Zone, Zhengzhou City, Henan Province, China

  • Machine Learning 1. Linear Regression

    文件大小: 906KB
  • Formulation of linear problems and solution by a

    Cited by: 7
  • Popular Applications of Linear Regression for

    Linear regression can also be used to analyze the marketing effectiveness, pricing and promotions on sales of a product. For instance, if company XYZ, wants to know if the funds that they have invested in marketing a particular brand has given them substantial return on investment, they can use linear

  • Exercises and Problems in Linear Algebra

    2014-7-14  Exercises and Problems in Linear Algebra John M. Erdman Portland State University Version July 13, 2014 c 2010 John M. Erdman E-mail address: [email protected]

  • Non-linear State Estimator for the On-line Control of a ...

    On the other hand, plant B is 87 meters long and 3.2 meters wide. In this case, there are 23 wind boxes along the machine. Strand speed is about 2.8 and 3.2 m/s, respectively, and gas flow passing through the sinter bed is higher than 750000 Nm3/h in both plants. Sinter production in both plants is about 5500000 tons of sinter product per year.

  • Linear Algebra for Machine Learning Master Data

    Highlights: Linear algebra is a branch of mathematics related to linear equations, linear functions and their representations through matrices and vector spaces. Basically, it is the science of numbers which empowers diverse Data Science algorithms and applications. To fully comprehend machine learning, linear algebra fundamentals are the essential prerequisite.

  • Single-machine and parallel-machine serial-batching ...

    This paper introduces the serial batching scheduling problems with position-based learning effect, where the actual job processing time is a function of its position. Two scheduling problems respectively for single-machine and parallel-machine are studied, and in each problem the objectives of minimizing maximum earliness and total number of tardy jobs are both considered respectively.

  • A machine learning survival kit for doctors by Simon ...

    A machine learning survival kit for doctors. Or: how to estimate the age of your brain with MRI data and Artificial Intelligence. Simon Jégou. Follow.

  • Randomized linear programming solves the Markov

    We propose a novel randomized linear programming algorithm for approximating the optimal policy of the discounted-reward and average-reward Markov decision problems. By leveraging the value-policy duality, the algorithm adaptively samples state-action-state transitions and

  • Non-linear State Estimator for the On-line Control of a ...

    the machine. Strand speed is about 2.8 and 3.2 m/s, respec-tively, and gas flow passing through the sinter bed is higher than 750000 Nm3/h in both plants. Sinter production in both plants is about 5500000 tons of sinter product per year. Regarding the productivity, it reaches a value around 32 t/m2/ 24 hours as an annual average in both plants. 2.