Indexability, concentration, and VC theory

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Towards a Theory of Indexability (

We consider the problem of indexing general database workloads (combinations of data sets and sets of potential queries). We identify two measures of eeciency of an indexing scheme for a work load: storage redundancy (how many times each item in the data set is stored), and disk access ratio (how many times more blocks than necessary does a query retrieve). We show interesting upper and lower b...

متن کامل

The Theory of Concentration Oligopoly

This paper originates the theory of buyer concentration for a main raw material input for a single processing industry. The Oligopsony concentration is obtained and subsequently decomposed into several factors, affecting indirectly the industry’s profitability. It is found that the leading firms’ efficiencies hypothesis is reaffirmed due to variations associated with the marginal productivity d...

متن کامل

Restless Bandits, Partial Conservation Laws and Indexability

We show that if performance measures in a general stochastic scheduling problem satisfy partial conservation laws (PCL), which extend the generalized conservation laws (GCL) introduced by Bertsimas and Niño-Mora (1996), then the problem is solved optimally by a priority-index policy under a range of admissible linear performance objectives, with both this range and the optimal indices being det...

متن کامل

VC dimension theory for a learning system with forgetting

In a changing environment, forgetting old samples is an e ective method to improve the adaptability of learning systems. However, too fast forgetting causes a decrease of generalization performance. In this paper, we analyze the generalization performance of a learning system with a forgetting parameter. For a class of binary discriminant functions, it is proved that the generalization error is...

متن کامل

VC Theory of Large Margin Multi-Category Classifiers

In the context of discriminant analysis, Vapnik’s statistical learning theory has mainly been developed in three directions: the computation of dichotomies with binary-valued functions, the computation of dichotomies with real-valued functions, and the computation of polytomies with functions taking their values in finite sets, typically the set of categories itself. The case of classes of vect...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Discrete Algorithms

سال: 2012

ISSN: 1570-8667

DOI: 10.1016/j.jda.2011.10.002