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NAACL
2007
15 years 6 months ago
Combining Probability-Based Rankers for Action-Item Detection
This paper studies methods that automatically detect action-items in e-mail, an important category for assisting users in identifying new tasks, tracking ongoing ones, and searchi...
Paul N. Bennett, Jaime G. Carbonell
SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
15 years 6 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley
129
Voted
AAAI
2006
15 years 6 months ago
SEMAPLAN: Combining Planning with Semantic Matching to Achieve Web Service Composition
Composing existing Web services to deliver new functionality is a difficult problem as it involves resolving semantic, syntactic and structural differences among the interfaces of...
Rama Akkiraju, Biplav Srivastava, Anca-Andreea Iva...
161
Voted
AAAI
2006
15 years 6 months ago
Sample-Efficient Evolutionary Function Approximation for Reinforcement Learning
Reinforcement learning problems are commonly tackled with temporal difference methods, which attempt to estimate the agent's optimal value function. In most real-world proble...
Shimon Whiteson, Peter Stone
113
Voted
AIPS
2006
15 years 6 months ago
Incremental Scheduling to Maximize Quality in a Dynamic Environment
We present techniques for incrementally managing schedules in domains where activities accrue quality as a function of the time and resources allocated to them and the goal is to ...
Anthony Gallagher, Terry L. Zimmerman, Stephen F. ...
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