Automatic segmentation of programs for a two-level store computer
نویسندگان
چکیده
منابع مشابه
A two level strategy for audio segmentation
In this paper we are dealing with audio segmentation. The audio tracks are sampled in short sequences which are classified into several classes. Every sequence can then be further analysed depending on the class it belongs to. We first describe simple techniques for segmentation in two or three classes. These methods rely on amplitude, spectral or cepstral analysis, and classical hidden markov ...
متن کاملinvestigating the integration of translation technologies into translation programs in iranian universities: basis for a syllabus design in translation technology
today, information technology and computers are indispensable tools of any profession and translation technologies have become an indispensable part of translator’s workstation. with the increasing demands for high productivity and speed as well as consistency and with the rise of new demands for translation and localization, it is necessary for translators to be familiar with market demands an...
Automatic Synthesis of Numerical Computer Programs
This paper is about rule-based problem solving. It has a motto: The less a rule can do, the better the effects of using it can be predicted. This motto suggests the key to obtaining coherent behavior by avoiding exponential behavior (combinatorial explosion) in a problem solving program for the domain of synthesizing numerical computer programs from their non-procedural specifications Introduct...
متن کاملOn the Automatic Differentiation of Computer Programs
-4utomatic differentiation (AD) is a methodology for developing sensitivity-enhanced versions of arbitrary computer programs. In this paper, we provide some background information on AD and address some frequently asked questions. We introduce the ADIFOR and ADIC tools for the automatic differentiation of Fortran 77 and ANSI-C programs, respectively, and give an example of applying ADIFOR in th...
متن کاملThe Recoverability of Segmentation Structure from Store-Level Aggregate Data
Vol. XLI (August 2004), 351–364 351 *Anand Bodapati is Assistant Professor of Marketing, Anderson Graduate School of Management, University of California, Los Angeles (e-mail [email protected]). Sachin Gupta is Associate Professor of Marketing, Johnson Graduate School of Management, Cornell University (e-mail: [email protected]). The second author acknowledges financial support from the Cliffor...
متن کاملذخیره 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: The Computer Journal
سال: 1964
ISSN: 0010-4620,1460-2067
DOI: 10.1093/comjnl/7.3.185