5771 search results - page 259 / 1155 » Learning similarity space |
183
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
205
click to vote
STOC
2012
ACM
13 years 9 months ago
2012
ACM
We give the first time-space tradeoff lower bounds for Resolution proofs that apply to superlinear space. In particular, we show that there are formulas of size N that have Reso...
186
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
200
click to vote
AAAI
2010
15 years 8 months ago
2010
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
174
click to vote
IJEB
2007
15 years 6 months ago
2007
Technology-enhanced or Computer Aided Learning (e-learning) can be institutionally integrated and supported by learning management systems or Virtual Learning Environments (VLEs) ...