CS 596 : Theoretical Machine Learning
نویسنده
چکیده
In the previous class, we had described a universal learning algorithm, called ERM (Empirical Risk Minimization). Under the ERM principle, we want to learn a function f , and we are promised that this function belongs to the function class H. We are given a training set S, and the ERM algorithm returns a function h ∈ H that minimizes the error on the training sample. That is, h = argming∈H errS(g). Our hope is that the function would also do well on the future data from the same distribution. We also proved the following important theorem about ERM:
منابع مشابه
Explain the theoretical and practical model of automatic facade design intelligence in the process of implementing the rules and regulations of facade design and drawing
Artificial intelligence has been trying for decades to create systems with human capabilities, including human-like learning; Therefore, the purpose of this study is to discover how to use this field in the process of learning facade design, specifically learning the rules and standards and national regulations related to the design of facades of residential buildings by machine with a machine ...
متن کاملCS 598 : Theoretical Machine Learning
In the last lecture, we were looking at clustering sparse graphs in the stochastic block model with parameters p > q, where p = a n , and q = b n , we saw that we could not do perfect clustering as w.h.p, there will be a constant fraction of isolated vertices. However, we shall see that we can still do weak recovery, i.e., by allowing a small fraction of vertices to be misplaced, we will recove...
متن کاملMachine Learning in Secondary Education?
Given the alarming drop in applications to Computer Science (CS) studies across Europe, any efforts at presenting CS as an interesting, challenging, and useful discipline are welcome and necessary. In this note I present my view that it is possible to introduce motivated secondary-school students to the basic goals, techniques, and applications of Machine Learning. Furthermore, I claim that Mac...
متن کاملThe machine learning process in applying spatial relations of residential plans based on samples and adjacency matrix
The current world is moving towards the development of hardware or software presence of artificial intelligence in all fields of human work, and architecture is no exception. Now this research seeks to present a theoretical and practical model of intuitive design intelligence that shows the problem of learning layout and spatial relationships to artificial intelligence algorithms; Therefore, th...
متن کامل