Sciweavers

2212 search results - page 13 / 443
» User-Based Active Learning
Sort
View
NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 3 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
ICML
2006
IEEE
14 years 9 months ago
Agnostic active learning
We state and analyze the first active learning algorithm which works in the presence of arbitrary forms of noise. The algorithm, A2 (for Agnostic Active), relies only upon the ass...
Maria-Florina Balcan, Alina Beygelzimer, John Lang...
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
13 years 7 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
ECTEL
2007
Springer
14 years 22 days ago
IKASYS: Using Mobile Devices for Memorization and Training Activities
Mobile learning (m-learning) integrates the current mobile computing technology with educational aspects to enhance the effectiveness of the traditional learning process. This pape...
Naiara Maya, Ana Urrutia, Ohian Odriozola, Josune ...
CSL
2010
Springer
13 years 8 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...