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» Comparing notions of randomness
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FSTTCS
1992
Springer
14 years 27 days ago
Structural Average Case Complexity
Levin introduced an average-case complexity measure, based on a notion of \polynomialon average," and de ned \average-case polynomial-time many-one reducibility" amongra...
Rainer Schuler, Tomoyuki Yamakami
INFORMATICALT
2006
150views more  INFORMATICALT 2006»
13 years 8 months ago
A Multiresolution Approach Based on MRF and Bak-Sneppen Models for Image Segmentation
The two major Markov Random Fields (MRF) based algorithms for image segmentation are the Simulated Annealing (SA) and Iterated Conditional Modes (ICM). In practice, compared to the...
Kamal E. Melkemi, Mohamed Batouche, Sebti Foufou
ILP
2004
Springer
14 years 2 months ago
First Order Random Forests with Complex Aggregates
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
PODC
1998
ACM
14 years 1 months ago
Amortizing Randomness in Private Multiparty Computations
We study the relationship between the number of rounds needed to repeatedly perform a private computation i.e., where there are many sets of inputs sequentially given to the play...
Eyal Kushilevitz, Rafail Ostrovsky, Adi Rosé...
COLING
2008
13 years 10 months ago
Random Restarts in Minimum Error Rate Training for Statistical Machine Translation
Och's (2003) minimum error rate training (MERT) procedure is the most commonly used method for training feature weights in statistical machine translation (SMT) models. The u...
Robert C. Moore, Chris Quirk