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TKDE
2010
224views more  TKDE 2010»
13 years 5 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
GLVLSI
2007
IEEE
111views VLSI» more  GLVLSI 2007»
14 years 1 months ago
Probabilistic gate-level power estimation using a novel waveform set method
A probabilistic power estimation technique for combinational circuits is presented. A novel set of simple waveforms is the kernel of this technique. The transition density of each...
Saeeid Tahmasbi Oskuii, Per Gunnar Kjeldsberg, Ein...
DOLAP
2000
ACM
13 years 12 months ago
CUBIST: A New Algorithm For Improving the Performance of Ad-hoc OLAP Queries
Being able to efficiently answer arbitrary OLAP queries that aggregate along any combination of dimensions over numerical and categorical attributes has been a continued, major co...
Lixin Fu, Joachim Hammer
KDD
2002
ACM
109views Data Mining» more  KDD 2002»
14 years 8 months ago
Topics in 0--1 data
Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
Ella Bingham, Heikki Mannila, Jouni K. Seppän...
IFM
2010
Springer
190views Formal Methods» more  IFM 2010»
13 years 6 months ago
On Model Checking Techniques for Randomized Distributed Systems
Abstract. The automata-based model checking approach for randomized distributed systems relies on an operational interleaving semantics of the system by means of a Markov decision ...
Christel Baier