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BMCBI
2005
99views more  BMCBI 2005»
15 years 7 months ago
Effective ambiguity checking in biosequence analysis
Background: Ambiguity is a problem in biosequence analysis that arises in various analysis tasks solved via dynamic programming, and in particular, in the modeling of families of ...
Janina Reeder, Peter Steffen, Robert Giegerich
AI
2002
Springer
15 years 7 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
JMLR
2010
102views more  JMLR 2010»
15 years 2 months ago
Efficient Algorithms for Conditional Independence Inference
The topic of the paper is computer testing of (probabilistic) conditional independence (CI) implications by an algebraic method of structural imsets. The basic idea is to transfor...
Remco R. Bouckaert, Raymond Hemmecke, Silvia Lindn...
ICDE
1997
IEEE
130views Database» more  ICDE 1997»
16 years 9 months ago
High-Dimensional Similarity Joins
Many emerging data mining applications require a similarity join between points in a high-dimensional domain. We present a new algorithm that utilizes a new index structure, calle...
Kyuseok Shim, Ramakrishnan Srikant, Rakesh Agrawal
VLSID
2002
IEEE
142views VLSI» more  VLSID 2002»
16 years 8 months ago
Degree-of-Freedom Analysis for Sequential Machines Targeting BIST Quality and Gate Area
| This paper reports the design of BIST structures for sequential machines. Testability of an FSM is limited due to the fact that some machine states remain unreachable and some ac...
Samir Roy, Biplab K. Sikdar, Monalisa Mukherjee, D...