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» A Model of Learning Using the Internet
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WEBDB
2010
Springer
178views Database» more  WEBDB 2010»
15 years 11 months ago
Using Latent-Structure to Detect Objects on the Web
An important requirement for emerging applications which aim to locate and integrate content distributed over the Web is to identify pages that are relevant for a given domain or ...
Luciano Barbosa, Juliana Freire
EMNLP
2010
15 years 4 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
UM
2005
Springer
16 years 2 days ago
Using Similarity to Infer Meta-cognitive Behaviors During Analogical Problem Solving
We present a computational framework designed to provide adaptive support aimed at triggering learning from problem-solving activities in the presence of worked-out examples. The k...
Kasia Muldner, Cristina Conati
AMR
2003
Springer
179views Multimedia» more  AMR 2003»
15 years 12 months ago
Building User Models from Observations of Users Accessing Multimedia Learning Objects
Abstract. We report our work towards building user models of learner’s development based upon evidence of their interactions with an e-learning website composed of multimedia lea...
Judy Kay, Andrew Lum
IJACTAICIT
2010
163views more  IJACTAICIT 2010»
15 years 3 months ago
Modified Vector Field Histogram with a Neural Network Learning Model for Mobile Robot Path Planning and Obstacle Avoidance
In this work, a Modified Vector Field Histogram (MVFH) has been developed to improve path planning and obstacle avoidance for a wheeled driven mobile robot. It permits the detecti...
Bahaa I. Kazem, Ali H. Hamad, Mustafa M. Mozael