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NAACL
2010
15 years 4 months ago
Taxonomy Learning Using Word Sense Induction
Taxonomies are an important resource for a variety of Natural Language Processing (NLP) applications. Despite this, the current stateof-the-art methods in taxonomy learning have d...
Ioannis P. Klapaftis, Suresh Manandhar
JMLR
2010
95views more  JMLR 2010»
15 years 1 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
AIED
2007
Springer
16 years 13 days ago
Learning Engagement: What Actions of Learners Could Best Predict It?
One important aspect of motivation is engagement. In order to learn, students need to be engaged in the learning activities. However, that does not always happen due to various fac...
Mihaela Cocea
ACSC
2002
IEEE
15 years 11 months ago
Learning and the Reflective Journal in Computer Science
This paper describes the use of the reflective journal in a computer programming course at the University of South Australia. We describe rationale for the journal relating it to ...
S. E. George
ESANN
2001
15 years 7 months ago
Motor control and movement optimization learned by combining auto-imitative and genetic algorithms
In sensorimotor behaviour often a great movement execution variability is combined with a relatively low error in reaching the intended goal. This phenomenon can especially be obse...
Karl-Theodor Kalveram, Ulrich Nakte