The Model Complexity Myth (or, Yes You Can Fit Models With More Parameters Than Data Points) An oft-repeated rule of thumb in any sort of statistical model fitting is "you can't fit a model with more parameters than data points". This idea appea…
可以把growth function m_H(N)的upper bound用N^(k-1)来限制, for N large, k>=3 Thus, 定义: VC Dimension: maximum non-break point 如果break point = k, then VC dimension = k-1 在VC Dimension上，这个Hset可以shatter某N个点，不一定是所有的N个点，但是如果N超过了VC dimension，则出现了Hset不能shatter掉的情况。 d…
Massive Model Rendering Techniques Andreas Dietrich Enrico Gobbetti Sung-Eui Yoon Abstract We present an overview of current real-time massive model visualization technology, with the goal of providing readers with a high level understanding of the d…
Performance Considerations for Entity Framework 5 By David Obando, Eric Dettinger and others Published: April 2012 1. Introduction Object-Relational Mapping frameworks are a convenient way to provide an abstraction for data access in an object-orient…
1.1. Example: Polynomial Curve Fitting 1. Movitate a number of concepts: (1) linear models: Functions which are linear in the unknow parameters. Polynomail is a linear model. For the Polynomail curve fitting problem, the models is : which is a linear…
http://www.fxguide.com/featured/pixars-opensubdiv-v2-a-detailed-look/ Pixar’s OpenSubdiv V2: A detailed look By Mike Seymour September 18, 2013 Subdivision is key modeling tool that allows greater accuracy and the OpenSubdiv project aims to standardi…
Gradient Boosted Regression Trees 2 Regularization GBRT provide three knobs to control overfitting: tree structure, shrinkage, and randomization. Tree Structure The depth of the individual trees is one aspect of model complexity. The depth of the t…
Chapter 1 Introduction 1.1 What Is Machine Learning? To solve a problem on a computer, we need an algorithm. An algorithm is a sequence of instructions that should be carried out to transform the input to output. For example, one can devise an algori…
