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» On the relative complexity of approximate counting problems
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TNN
2010
176views Management» more  TNN 2010»
13 years 2 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
BSL
2000
153views more  BSL 2000»
13 years 7 months ago
Combinatorics with definable sets: Euler characteristics and Grothendieck rings
We recall the notions of weak and strong Euler characteristics on a first order structure and make explicit the notion of a Grothendieck ring of a structure. We define partially or...
Jan Krajícek, Thomas Scanlon
FOCS
2002
IEEE
14 years 15 days ago
Rapidly Mixing Markov Chains for Sampling Contingency Tables with a Constant Number of Rows
We consider the problem of sampling almost uniformly from the set of contingency tables with given row and column sums, when the number of rows is a constant. Cryan and Dyer [3] h...
Mary Cryan, Martin E. Dyer, Leslie Ann Goldberg, M...
CPM
2005
Springer
100views Combinatorics» more  CPM 2005»
13 years 9 months ago
Hardness of Optimal Spaced Seed Design
Abstract. Speeding up approximate pattern matching is a line of research in stringology since the 80’s. Practically fast approaches belong to the class of filtration algorithms,...
François Nicolas, Eric Rivals
ICDE
1999
IEEE
148views Database» more  ICDE 1999»
14 years 9 months ago
Efficient Mining of Partial Periodic Patterns in Time Series Database
Partial periodicity search, i.e., search for partial periodic patterns in time-series databases, is an interesting data mining problem. Previous studies on periodicity search main...
Jiawei Han, Guozhu Dong, Yiwen Yin