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» Tetris is Hard, Even to Approximate
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KDD
2009
ACM
188views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
CORR
2010
Springer
111views Education» more  CORR 2010»
13 years 7 months ago
Submodular Maximization by Simulated Annealing
We consider the problem of maximizing a nonnegative (possibly non-monotone) submodular set function with or without constraints. Feige et al. [9] showed a 2/5-approximation for th...
Shayan Oveis Gharan, Jan Vondrák
CORR
2010
Springer
117views Education» more  CORR 2010»
13 years 7 months ago
Reductions Between Expansion Problems
The Small-Set Expansion Hypothesis (Raghavendra, Steurer, STOC 2010) is a natural hardness assumption concerning the problem of approximating the edge expansion of small sets in g...
Prasad Raghavendra, David Steurer, Madhur Tulsiani
ICDT
2009
ACM
166views Database» more  ICDT 2009»
14 years 8 months ago
A compositional framework for complex queries over uncertain data
The ability to flexibly compose confidence computation with the operations of relational algebra is an important feature of probabilistic database query languages. Computing confi...
Christoph Koch, Michaela Götz
IPL
2008
89views more  IPL 2008»
13 years 7 months ago
On the tractability of coloring semirandom graphs
As part of the efforts put in understanding the intricacies of the k-colorability problem, different distributions over k-colorable graphs were analyzed. While the problem is notor...
Julia Böttcher, Dan Vilenchik