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» Computation with imprecise probabilities
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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 8 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
FCT
2009
Springer
14 years 2 months ago
Competitive Group Testing and Learning Hidden Vertex Covers with Minimum Adaptivity
Suppose that we are given a set of n elements d of which are “defective”. A group test can check for any subset, called a pool, whether it contains a defective. It is well know...
Peter Damaschke, Azam Sheikh Muhammad
FOCS
2008
IEEE
14 years 1 months ago
A Geometric Approach to Lower Bounds for Approximate Near-Neighbor Search and Partial Match
This work investigates a geometric approach to proving cell probe lower bounds for data structure problems. We consider the approximate nearest neighbor search problem on the Bool...
Rina Panigrahy, Kunal Talwar, Udi Wieder
DRUMS
1998
Springer
13 years 11 months ago
Handling uncertainty in control of autonomous robots
Autonomous robots need the ability to move purposefully and without human intervention in real-world environments that have not been speci cally engineered for them. These environm...
Alessandro Saffiotti
PODC
2011
ACM
12 years 10 months ago
Structuring unreliable radio networks
In this paper we study the problem of building a connected dominating set with constant degree (CCDS) in the dual graph radio network model [4,9,10]. This model includes two types...
Keren Censor-Hillel, Seth Gilbert, Fabian Kuhn, Na...