194 search results - page 12 / 39 » Sequence Labeling with Reinforcement Learning and Ranking Al... |
124
click to vote
PAMI
2012
12 years 12 months ago
2012
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
108
click to vote
SIGIR
2011
ACM
14 years 8 days ago
2011
ACM
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
94
Voted
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
NIPS
1996
14 years 10 months ago
1996
Closed-loop control relies on sensory feedback that is usually assumed to be free. But if sensing incurs a cost, it may be coste ective to take sequences of actions in open-loop m...
ICRA
2009
IEEE
15 years 4 months ago
2009
IEEE
— Our goal in this work is to make high level decisions for mobile robots. In particular, given a queue of prioritized object delivery tasks, we wish to find a sequence of actio...