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» Two Representations for Iterative Non-prioritized Change
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CORR
2002
Springer
98views Education» more  CORR 2002»
13 years 11 months ago
Two Representations for Iterative Non-prioritized Change
We address a general representation problem for belief change, and describe two interrelated representations for iterative nonprioritized change: a logical representation in terms...
Alexander Bochman
SCAM
2006
IEEE
14 years 5 months ago
Factoring Differences for Iterative Change Management
An approach for factoring source-code differences is presented. A single large difference between two versions of a program is decomposed into factors (i.e., smaller changes). The...
Michael L. Collard, Huzefa H. Kagdi, Jonathan I. M...
BMCBI
2010
163views more  BMCBI 2010»
13 years 11 months ago
Reduced representation of protein structure: implications on efficiency and scope of detection of structural similarity
Background: Computational comparison of two protein structures is the starting point of many methods that build on existing knowledge, such as structure modeling (including modeli...
Zong Hong Zhang, Hwee Kuan Lee, Ivana Mihalek
JOCN
2011
74views more  JOCN 2011»
13 years 6 months ago
Cross-domain Effects of Music and Language Experience on the Representation of Pitch in the Human Auditory Brainstem
■ Neural encoding of pitch in the auditory brainstem is known to be shaped by long-term experience with language or music, implying that early sensory processing is subject to e...
Gavin M. Bidelman, Jackson T. Gandour, Ananthanara...
PRL
2006
139views more  PRL 2006»
13 years 11 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...