Keywords: Approximation
Loading...
Displaying 1-7 of 7 results.
Algorithms
| Rating: | |
| Type: | Course Related Materials |
Abstract: The design of algorithms is studied, according to methodology and application. Methodologies include: divide and conquer, dynamic programming, and greedy strategies. Applications involve: sorting, ordering and searching, graph algorithms, geometric algorithms, mathematical (number theory, algebra and ... More »
Approximation and Projections in Hilbert Space
| Rating: | |
| Type: | Course Related Materials |
Abstract: This module introduces approximation and projections in Hilbert space.
Expected Value, Standard Error, Normal Approximation from the course Introduction to Statistics
| Rating: | |
| Type: | Course Related Materials |
Abstract: Stats 2: Introduction to Statistics - Fall 2006. Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.
Networks for Learning: Regression and Classification, Spring 2001
| Rating: | |
| Type: | Course Related Materials |
Abstract: The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed in ... More »
Randomized Algorithms, Fall 2002
| Rating: | |
| Type: | Course Related Materials |
Abstract: Studies how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and Markov chains. Models of randomized computation. Data structures: hash tables, and skip lists. Graph algorithms: minimum spanning trees, shortest ... More »
Readings in Optimization, Fall 2003
| Rating: | |
| Type: | Course Related Materials |
Abstract: Doctoral student seminar covering current topics related to operations research not otherwise included in the curriculum. In keeping with the tradition of the last twenty-some years, the Readings in Optimization seminar will focus on an advanced topic of interest to a portion of the MIT optimization ... More »
SD, Normal Approximation from the course Introduction to Statistics
| Rating: | |
| Type: | Course Related Materials |
Abstract: Stats 2: Introduction to Statistics - Fall 2006. Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.
