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JMLR
2010
149views more  JMLR 2010»
14 years 4 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
FOSSACS
2012
Springer
13 years 5 months ago
A Coalgebraic Perspective on Minimization and Determinization
Coalgebra offers a unified theory of state based systems, including infinite streams, labelled transition systems and deterministic automata. In this paper, we use the coalgebrai...
Jirí Adámek, Filippo Bonchi, Mathias...

Publication
197views
13 years 5 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...
VLDB
2001
ACM
139views Database» more  VLDB 2001»
15 years 1 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...
83
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TIT
2008
134views more  TIT 2008»
14 years 9 months ago
Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis
In a multiple-antenna system with two transmitters and two receivers, a scenario of data communication, known as the X channel, is studied in which each receiver receives data from...
Mohammad Ali Maddah-Ali, Abolfazl S. Motahari, Ami...