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BMCBI
2004
208views more  BMCBI 2004»
14 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
IJCAI
1989
14 years 10 months ago
A Critique of the Valiant Model
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
Wray L. Buntine
SCP
2008
150views more  SCP 2008»
14 years 9 months ago
Google's MapReduce programming model - Revisited
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner. We deliver the first rigorous description of the model including it...
Ralf Lämmel
SP
1998
IEEE
173views Security Privacy» more  SP 1998»
15 years 1 months ago
An Automated Approach for Identifying Potential Vulnerabilities in Software
This paper presents results from analyzing the vulnerability of security-critical software applications to malicious threats and anomalous events using an automated fault injectio...
Anup K. Ghosh, Tom O'Connor, Gary McGraw
73
Voted
EMSOFT
2009
Springer
15 years 4 months ago
Probabilistic modeling of data cache behavior
In this paper, we propose a formal analysis approach to estimate the expected (average) data cache access time of an application across all possible program inputs. Towards this g...
Vinayak Puranik, Tulika Mitra, Y. N. Srikant