15120 search results - page 181 / 3024 » Learning with Local Models |
133
Voted
ROBOCUP
2007
Springer
15 years 8 months ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
114
Voted
ICWL
2010
Springer
15 years 17 days ago
2010
Springer
Learning path construction is a complex task. It involves formulating and organizing learning activities, defining ways to evaluate student learning progress and to match such prog...
160
Voted
ECCV
2002
Springer
16 years 4 months ago
2002
Springer
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
130
Voted
DAC
1996
ACM
15 years 6 months ago
1996
ACM
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
106
Voted
AAAI
2006
15 years 4 months ago
2006
A hybrid algorithm is devised to boost the performance of complete search on under-constrained problems. We suggest to use random variable selection in combination with restarts, ...