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» A Value Theory of Meta-Learning Algorithms
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JACM
2006
99views more  JACM 2006»
14 years 11 months ago
Finding a maximum likelihood tree is hard
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...
Benny Chor, Tamir Tuller
ATAL
2010
Springer
15 years 28 days ago
Decision making with dynamically arriving information
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 ...
Meir Kalech, Avi Pfeffer
STOC
2009
ACM
139views Algorithms» more  STOC 2009»
16 years 12 days ago
Online and stochastic survivable network design
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,...
Anupam Gupta, Ravishankar Krishnaswamy, R. Ravi
WSNA
2003
ACM
15 years 5 months ago
The coverage problem in a wireless sensor network
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...
Chi-Fu Huang, Yu-Chee Tseng
COMPGEOM
2009
ACM
15 years 4 months ago
The scale axis picture show
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...
Joachim Giesen, Balint Miklos, Mark Pauly, Camille...