2082 search results - page 164 / 417 » Using model knowledge for learning inverse dynamics |
141
Voted
JMS
2010
15 years 2 months ago
2010
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
139
Voted
AI
2011
Springer
14 years 10 months ago
2011
Springer
Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
137
Voted
AAAI
2007
15 years 5 months ago
2007
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
126
Voted
ATMOS
2007
15 years 5 months ago
2007
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...
133
Voted
UMUAI
2008
15 years 3 months ago
2008
Abstract. Self-efficacy is an individual's belief about her ability to perform well in a given situation. Because selfefficacious students are effective learners, endowing int...