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ACL
2011
14 years 8 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman
IUI
2011
ACM
14 years 7 months ago
Continuous marking menus for learning cursive pen-based gestures
In this paper, we present a new type of Marking menus. Continuous Marking Menus are specifically dedicated to penbased interfaces, and designed to define a set of cursive, reali...
Adrien Delaye, Rafik Sekkal, Éric Anquetil
ICALT
2009
IEEE
15 years 11 months ago
A Framework for Pedagogical Feedback in the Motor Skill Domain
With increasingly rapid development in Computerbased Sport Training (CBST), feedback plays an important role in both coaching and learning. A good CBST system includes not only go...
Yulita Hanum P. Iskandar, Lester Gilbert, Gary B. ...
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
15 years 11 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
126
Voted
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 10 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett