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» Mobile learning: A framework and evaluation
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ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 3 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
GLOBECOM
2007
IEEE
14 years 3 months ago
Using MILP for Optimal Movement Planning in MANETs with Cooperative Mobility
— Rapid-deployment mobile ad-hoc networks (MANETs) are frequently characterized by common overarching mission objectives which make it reasonable to expect some degree of coopera...
Ghassen Ben Brahim, Osama Awwad, Ala I. Al-Fuqaha,...
CONEXT
2007
ACM
14 years 1 months ago
Scalable real-time gateway assignment in mobile mesh networks
The perception of future wireless mesh network (WMN) deployment and usage is rapidly evolving. WMNs are now being envisaged to provide citywide "last-mile" access for nu...
Edward Bortnikov, Israel Cidon, Idit Keidar
RECSYS
2009
ACM
14 years 3 months ago
FriendSensing: recommending friends using mobile phones
We propose FriendSensing, a framework that automatically suggests friends to mobile social-networking users. Using short-range technologies (e.g., Bluetooth) on her mobile phone, ...
Daniele Quercia, Licia Capra
ACISICIS
2005
IEEE
14 years 2 months ago
Performance Analysis on Mobility of Ad-Hoc Network for Inter-Vehicle Communication
This paper presents the feasibility of using an ad-hoc network as an infrastructure for a small group of inter-vehicle communication network. Mobile ad-hoc networking with wireles...
Jaehyun Kim, Woojin Han, Woohyuk Choi, Yunil Hwang...