Graphical Profiling: Knowledge through Prediction

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

Improving achievable ILP through value prediction and program profiling

This paper explores the possibility of using program profiling to enhance the efficiency of value prediction. Value prediction attempts to eliminate true-data dependencies by predicting the outcome values of instructions at run-time and executing true-data dependent instructions based on that prediction. So far, all published techniques in this area have examined hardware-only value prediction ...

متن کامل

The prediction of knowledge Management through Organizational Culture in some of sports organizations

Today, Organizational culture has an important role in implementation of Knowledge management. Therefore, the purpose of this research was to predict of knowledge management through organizational culture in sports organizations. The Statistical popularly was all managers of National Olympic committee, National Paralympics committee, National Olympic Academy, and Sport Federations (N=225)....

متن کامل

Active prediction in graphical models

Given a graph with an unknown labeling of its nodes, we consider the problem of choosing a subset of nodes to observe so as to minimize the prediction error for labels of the remaining unobserved nodes. While this problem has been studied before, the novelty of our setting is twofold. First, we assume that the node labels are random variables having a known joint distribution, i. e., they const...

متن کامل

CC Prediction with Graphical Models

We address the problem of suggesting who to add as an additional recipient (i.e. cc, or carbon copy) for an email under composition. We address the problem using graphical models for words in the body and subject line of the email as well as the recipients given so far on the email. The problem of cc prediction is closely related to the problem of expert finding in an organization. We show that...

متن کامل

Graphical Models for Discivering Knowledge

There are many diierent ways of representing knowledge, and for each of these ways there are many diierent discovery algorithms. How can we compare diierent representations? How can we mix, match and merge representations and algorithms on new problems with their own unique requirements? This chapter introduces probabilistic modeling as a philosophy for addressing these questions and presents g...

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 Global Peace and Conflict

سال: 2017

ISSN: 2333-584X,2333-5858

DOI: 10.15640/jgpc.v5n1a2