377 search results - page 48 / 76 » A Value Theory of Meta-Learning Algorithms |
129
Voted
JACM
2006
15 years 3 months ago
2006
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
131
Voted
ATAL
2010
Springer
15 years 5 months ago
2010
Springer
Decision making is the ability to decide on the best alternative among a set of candidates based on their value. In many real-world domains the value depends on events that occur ...
142
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STOC
2009
ACM
16 years 4 months ago
2009
ACM
Consider the edge-connectivity survivable network design problem: given a graph G = (V, E) with edge-costs, and edgeconnectivity requirements rij Z0 for every pair of vertices i,...
158
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WSNA
2003
ACM
15 years 9 months ago
2003
ACM
One fundamental issue in sensor networks is the coverage problem, which reflects how well a sensor network is monitored or tracked by sensors. In this paper, we formulate this pr...
153
Voted
COMPGEOM
2009
ACM
15 years 8 months ago
2009
ACM
We demonstrate how the scale axis transform can be used to compute a parameterized family of shape skeletons. The skeletons gradually represent only the most important features of...