Economical Graph Discovery

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

Economical Graph Discovery

Consider a weighted n-vertex, m-edge graph G with designated source s and destination t. The topology of G is known, while the edge weights are hidden. Our goal is to discover either the edge weights in the graph or a shortest (s, t)-path. This is done by means of agents that traverse different (s, t)-paths in multiple rounds and report back the total cost they incurred. Various cost models are...

متن کامل

A Knowledge Discovery Method to Predict the Economical Sustainability

In this study, we are building a prototype of a machine-learning system using an inductive supervised approach to predict the logistical performance of a company. Focus lies on the learning phase, the handling of different types of data, the creation of new concepts in order to provide better measurable information. In this system, numeric financial data are combined with categorical data creat...

متن کامل

Reusable Function Discovery by Call-Graph Analysis

Nowadays, one of the IT challenges faced by many enterprises is the maintenance of their legacy system and migration of those systems to modern and flexible platform. In this paper, we study the network properties of software call graphs, and utilize the network theories to understand the business logic of legacy system. The call graphs turn out approximately scale-free and small world network ...

متن کامل

Online Skill Discovery using Graph-based Clustering

We introduce a new online skill discovery method for reinforcement learning in discrete domains. The method is based on the bottleneck principle and identifies skills using a bottom-up hierarchical clustering of the estimated transition graph. In contrast to prior clustering approaches, it can be used incrementally and thus several times during the learning process. Our empirical evaluation sho...

متن کامل

Iterative Structure Discovery in Graph-Based Data

Much of current data mining research is focused on discovering sets of attributes that discriminate data entities into classes, such as shopping trends for a particular demographic group. In contrast, we are working to develop data mining techniques to discover patterns consisting of complex relationships between entities. Our research is particularly applicable to domains in which the data is ...

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: Operations Research

سال: 2014

ISSN: 0030-364X,1526-5463

DOI: 10.1287/opre.2014.1313