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Searching for authors named "Dimitris Achlioptas" – sorted by Relevance.

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  • Random Matrices in Data Analysis  
  • by Dimitris Achlioptas — 2004 — Proceedings of the 15 th European Conference on Machine Learning
  • …We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certain kernel methods.…
  • Cited by 1 (0 self)Add To MetaCart
  • Threshold Phenomena in Random Graph Colouring and Satisfiability  
  • by Dimitris Achlioptas — 1999
  • … We study threshold phenomena pertaining to the colourability of random graphs and the satisfiability of random formulas. Consider a random graph G(n, p) on n vertices formed by including each of the possible edges independently of all others with probability p. For a fixed integer k, let f k …
  • Cited by 19 (4 self)Add To MetaCart
  • Database-friendly Random Projections  
  • by Dimitris Achlioptas — 2001
  • …A classic result of Johnson and Lindenstrauss asserts that any set of n points in d-dimensional Euclidean space can be embedded into k-dimensional Euclidean space | where k is logarithmic in n and independent of d | so that all pairwise distances are maintained within an arbitrarily small factor. Al…
  • Cited by 82 (2 self)Add To MetaCart
  • The Threshold for Random k-SAT is 2^k (ln 2 + o(1))  
  • by Dimitris Achlioptas, Yuval Peres
  • …Let Fk (n, m) be a random k-SAT formula with n variables and m clauses selected uniformly and independently among all 2 possible k-clauses. It is well-known that if r ln 2 then Fk (n, rn) is unsatisfiable with probability 1 o(1). We prove that there exists a sequence t k = O(k) such that if t k , th…
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  • Random k-SAT: two moments suffice to cross a sharp threshold  
  • by Dimitris Achlioptas, Cristopher Moore — 2006 — CoRR
  • …Abstract. Many NP-complete constraint satisfaction problems appear to undergo a “phase transition” from solubility to insolubility when the constraint density passes through a critical threshold. In all such cases it is easy to derive upper bounds on the location of the threshold by showing that abo…
  • Cited by 9 (0 self)Add To MetaCart
  • On the 2-Colorability of Random Hypergraphs  
  • by Dimitris Achlioptas, Cristopher Moore — Proc. 6th RANDOM, 78–90
  • …A 2-coloring of a hypergraph is a mapping from its vertices to a set of two colors such that no edge is monochromatic. Let Hk (n; m) be a random k-uniform hypergraph on n vertices formed by picking m edges uniformly, independently and with replacement. It is easy to show that if r rc = 2 ln …
  • Cited by 4 (2 self)Add To MetaCart
  • The Analysis of a List-Coloring Algorithm on a Random Graph (Extended Abstract)  
  • by Dimitris Achlioptas, Michael Molloy — 1997 — 38th Annual Symposium on Foundations of Computer Science
  • …We introduce a natural k-coloring algorithm and analyze its performance on random graphs with constant expected degree c (G n;p=c=n ). For k = 3 our results imply that almost all graphs with n vertices and 1:923 n edges are 3-colorable. This improves the lower bound on the threshold for random 3-col…
  • Cited by 25 (4 self)Add To MetaCart
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