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ICML
2007
IEEE
16 years 5 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
STOC
2002
ACM
177views Algorithms» more  STOC 2002»
16 years 4 months ago
Similarity estimation techniques from rounding algorithms
A locality sensitive hashing scheme is a distribution on a family F of hash functions operating on a collection of objects, such that for two objects x, y, PrhF [h(x) = h(y)] = si...
Moses Charikar
OSDI
2008
ACM
16 years 4 months ago
HiLighter: Automatically Building Robust Signatures of Performance Behavior for Small- and Large-Scale Systems
Previous work showed that statistical analysis techniques could successfully be used to construct compact signatures of distinct operational problems in Internet server systems. B...
Armando Fox, Moisés Goldszmidt, Peter Bod&i...
IJCNN
2007
IEEE
15 years 11 months ago
A Wrapper for Projection Pursuit Learning
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Ferna...
EUROPKI
2007
Springer
15 years 10 months ago
On Partial Anonymity in Secret Sharing
Abstract. Anonymous secret sharing schemes allow a secret to be recovered from shares regardless of the identity of shareholders. Besides being interesting in its own right, this p...
Vanesa Daza, Josep Domingo-Ferrer