27 search results - page 3 / 6 » Full Restart Speeds Learning |
ATAL
2008
Springer
13 years 7 months ago
2008
Springer
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
APSEC
2004
IEEE
13 years 9 months ago
2004
IEEE
Pair programmers need a "warmup phase" before the pair can work at full speed. The length of the learning interval varies, depending on how experienced the developers are...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
AAAI
2011
12 years 5 months ago
2011
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
GLVLSI
1998
IEEE
13 years 9 months ago
1998
IEEE
In this research, we devised a new simple technique for statically holding analog weights, which does not require periodic refreshing. It further contains a mechanism to locally u...