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» Approximation Algorithms for k-hurdle Problems
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155
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SOFSEM
2007
Springer
15 years 10 months ago
Fast Approximate Point Set Matching for Information Retrieval
We investigate randomised algorithms for subset matching with spatial point sets—given two sets of d-dimensional points: a data set T consisting of n points and a pattern P consi...
Raphaël Clifford, Benjamin Sach
126
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ECML
2006
Springer
15 years 7 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
140
Voted
FOCS
2004
IEEE
15 years 7 months ago
An Optimal Randomised Cell Probe Lower Bound for Approximate Nearest Neighbour Searching
We consider the approximate nearest neighbour search problem on the Hamming cube {0, 1}d. We show that a randomised cell probe algorithm that uses polynomial storage and word size...
Amit Chakrabarti, Oded Regev
149
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SODA
1998
ACM
157views Algorithms» more  SODA 1998»
15 years 5 months ago
A Polynomial Time Approximation Scheme for Minimum Routing Cost Spanning Trees
Given an undirected graph with nonnegative costs on the edges, the routing cost of any of its spanning trees is the sum over all pairs of vertices of the cost of the path between t...
Bang Ye Wu, Giuseppe Lancia, Vineet Bafna, Kun-Mao...
132
Voted
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
15 years 7 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...