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» Probabilistic algorithms for computing resultants
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VLDB
2007
ACM
129views Database» more  VLDB 2007»
15 years 3 months ago
Anytime Measures for Top-k Algorithms
Top-k queries on large multi-attribute data sets are fundamental operations in information retrieval and ranking applications. In this paper, we initiate research on the anytime b...
Benjamin Arai, Gautam Das, Dimitrios Gunopulos, Ni...
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
15 years 3 months ago
A Practical Algorithm for Network Topology Inference
— When a network of robots or static sensors is emplaced in an environment, the spatial relationships between the sensing units must be inferred or computed for most key applicat...
Dimitri Marinakis, Gregory Dudek
ENTCS
2008
67views more  ENTCS 2008»
14 years 9 months ago
Notions of Probabilistic Computability on Represented Spaces
: We define and compare several probabilistic notions of computability for mappings from represented spaces (that are equipped with a measure or outer measure) into computable metr...
Volker Bosserhoff
STACS
1999
Springer
15 years 2 months ago
One-sided Versus Two-sided Error in Probabilistic Computation
We demonstrate how to use Lautemann's proof that BPP is in p 2 to exhibit that BPP is in RPPromiseRP. Immediate consequences show that if PromiseRP is easy or if there exist q...
Harry Buhrman, Lance Fortnow
SAC
2006
ACM
15 years 3 months ago
A probability analysis for candidate-based frequent itemset algorithms
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
Nele Dexters, Paul W. Purdom, Dirk Van Gucht