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» Approximation Algorithms for Data Placement Problems
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128
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CORR
2011
Springer
161views Education» more  CORR 2011»
14 years 9 months ago
On Parsimonious Explanations for 2-D Tree- and Linearly-Ordered Data
This paper studies the “explanation problem” for tree- and linearly-ordered array data, a problem motivated by database applications and recently solved for the one-dimensiona...
Howard J. Karloff, Flip Korn, Konstantin Makaryche...
143
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NIPS
2007
15 years 4 months ago
The Tradeoffs of Large Scale Learning
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
Léon Bottou, Olivier Bousquet
INFOCOM
2010
IEEE
15 years 15 days ago
On Computing Compression Trees for Data Collection in Wireless Sensor Networks
We address the problem of efficiently gathering correlated data from a wireless sensor network, with the aim of designing algorithms with provable optimality guarantees, and unders...
Jian Li, Amol Deshpande, Samir Khuller
139
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ICFCA
2009
Springer
15 years 9 months ago
Factor Analysis of Incidence Data via Novel Decomposition of Matrices
Matrix decomposition methods provide representations of an object-variable data matrix by a product of two different matrices, one describing relationship between objects and hidd...
Radim Belohlávek, Vilém Vychodil
GRC
2010
IEEE
15 years 3 months ago
Optimal Factorization of Three-Way Binary Data
We present a problem of factor analysis of three-way binary data, i.e. data described by a 3-dimensional binary matrix I, describing a relationship between objects, attributes, an...
Radim Belohlávek, Vilém Vychodil