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IJCAI
2001
15 years 8 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
EMNLP
2009
15 years 4 months ago
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
Gregory Druck, Burr Settles, Andrew McCallum
CEAS
2006
Springer
15 years 10 months ago
Modeling Identity in Archival Collections of Email: A Preliminary Study
Access to historically significant email archives poses challenges that arise less often in personal collections. Most notably, searchers may need help making sense of the identit...
Tamer Elsayed, Douglas W. Oard
ICANN
2003
Springer
15 years 12 months ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
DEXAW
2004
IEEE
97views Database» more  DEXAW 2004»
15 years 10 months ago
A Conceptual Model Based Distance Learning System for Computer Literacy
In distance learning for computer literacy, a student's skill is dependent on personal experience. In such cases, it is important to determine the student's understandin...
Yoshiki Murotani, Minoru Uehara, Hideki Mori