1454 search results - page 93 / 291 » Learning and Extending Sublanguages |
131
Voted
MCS
2009
Springer
15 years 8 months ago
2009
Springer
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
135
Voted
ECML
1991
Springer
15 years 7 months ago
1991
Springer
Robust reasoning requires learning from problem solving episodes. Past experience must be compiled to provide adaptation to new contingencies and intelligent modification of solut...
115
Voted
IJCAI
2007
15 years 5 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
114
Voted
NIPS
2007
15 years 5 months ago
2007
We consider apprenticeship learning—learning from expert demonstrations—in the setting of large, complex domains. Past work in apprenticeship learning requires that the expert...
145
Voted
NIPS
2007
15 years 5 months ago
2007
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...