Sciweavers

6412 search results - page 81 / 1283
» Human Active Learning
Sort
View
ICML
2006
IEEE
14 years 10 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 1 months 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 9 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...
ICML
2005
IEEE
14 years 10 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore