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» Introduction to Machine Learning
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196
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ECML
2007
Springer
16 years 1 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
168
Voted
ICALT
2006
IEEE
16 years 1 months ago
Content-Based Positioning in Learning Networks
Positioning in learning networks is a process that assists learners in finding a starting point and an efficient route in the network that will foster competence building. In orde...
Jan van Bruggen, Ellen Rusman, Bas Giesbers, Rob K...
ICALT
2006
IEEE
16 years 1 months ago
A Shortest Learning Path Selection Algorithm in E-learning
Generally speaking, in the e-learning systems, a course is modeled as a graph, where each node represents a knowledge node (KU) and two nodes are connected to form a semantic netw...
Chengling Zhao, Liyong Wan
ICALT
2005
IEEE
16 years 1 months ago
Intelligent Learning Environment: Building Hybrid System from Standard Application and Web Application
In this paper, we explore the idea of Intelligent Learning Environment (ILE) by building a system for teaching and learning music in a web-based environment. Our system is a frame...
Keh-Siong Chee, Somnuk Phon-Amnuaisuk
198
Voted
ICALT
2003
IEEE
16 years 26 days ago
A Distributed Software System Architecture For Wireless Peer-to-Peer Collaborative Learning
Students often turn to their peers for help in order to learn a new concept or lesson introduced by a teacher in class. This establishes roles of tutor and learner between student...
Indrani Vedula, Richard Han