Recommender System Framework for Heterogeneous Networks Fatemeh Vahedian Center for Web Intelligence, Depaul University, Chicago, IL 60604 keyword: Heterogeneous Information Networks, Meta-paths, Recommedner System, Multirelational Learning. Social networks such as Twitter, Facebook, and Flickr can be modeled as a Heterogeneous Network with multiple node types and different types of relations a...

The aim of this article is to propose a theoretical framework for understanding children’s learning at play in hybrid reality. Meta-synthesis applied as method examining meani...

When problem solving reduces to examination of a single or a few learning methods no sophisticated mechanisms of information exchange are necessary, but when we use meta-learning for extensive search through a huge space of hybrid models, the information exchange between subsequent models is crucial. The information exchange between models must be universal, very flexible and as simple to defin...

ORFeus is a fully automated, sensitive protein sequence similarity search server available to the academic community via the Structure Prediction Meta Server (http://BioInfo.PL/Meta/). The goal of the development of ORFeus was to increase the sensitivity of the detection of distantly related protein families. Predicted secondary structure information was added to the information about sequence ...

STUDY DESIGN A quantitative meta-analysis was conducted on publishing studies reporting results of spinal surgery in adolescent idiopathic scoliosis with instrumentation of pedicle screw or hybrid construct. OBJECTIVE The primary objective is to get overview of the power to restore thoracic kyphosis using 2 different instrumentations. SUMMARY OF BACKGROUND DATA During the past years, surger...

meta -Terphenyl derivatives were used as versatile fluorescent sensors for online monitoring of hybrid photopolymerization that allow seeing the difference between different types polymerization processes involved in polymerization.

Collective adaptive systems (CASs) have been researched intensively since many years. However, the recent emerging developments and advanced models in service-oriented computing, cloud computing and human computation have fostered several new forms of CASs. Among them, Hybrid and Diversityaware CASs (HDA-CASs) characterize new types of CASs in which a collective is composed of hybrid machines a...

Since Markowitz’s seminal work on the meanvariance model in modern portfolio theory, many studies have been conducted on computational techniques and recently meta-heuristics for portfolio selection problems. In this work, we propose and investigate a new hybrid algorithm integrating the population based incremental learning and differential evolution algorithms for the portfolio selection prob...

the capacitated location-routing problem (clrp) is a new research area in logistics and distribution management. this problem combines two difficult problems: the facility location problem (flp) and vehicle routing problem (vrp). the goal of the clrp is to open a subset of depots, assign the customers into open facilities, and then design vehicle tours in order to minimize the total cost. the t...