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ICAART
2010
INSTICC
15 years 9 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
DRR
2010
15 years 2 months ago
A stacked sequential learning method for investigator name recognition from web-based medical articles
"Investigator Names" is a newly required field in MEDLINE citations. It consists of personal names listed as members of corporate organizations in an article. Extracting...
Xiaoli Zhang, Jie Zou, Daniel X. Le, George R. Tho...
ITS
2010
Springer
182views Multimedia» more  ITS 2010»
14 years 10 months ago
An Interactive Learning Environment for Problem-Changing Exercise
: To make a new problem from the original one and to compare their solutions are promising activities to promote a learner to be aware of the structure of these problems. Especiall...
Tsukasa Hirashima, Sho Yamamoto, Hiromi Waki
KES
2005
Springer
15 years 5 months ago
Learning Method for Automatic Acquisition of Translation Knowledge
This paper presents a new learning method for automatic acquisition of translation knowledge from parallel corpora. We apply this learning method to automatic extraction of bilingu...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi
ESANN
2003
15 years 1 months ago
Accelerating the convergence speed of neural networks learning methods using least squares
In this work a hybrid training scheme for the supervised learning of feedforward neural networks is presented. In the proposed method, the weights of the last layer are obtained em...
Oscar Fontenla-Romero, Deniz Erdogmus, José...