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BMCBI
2005
152views more  BMCBI 2005»
14 years 9 months ago
Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
Markus Wistrand, Erik L. L. Sonnhammer
FLAIRS
2006
14 years 11 months ago
Designing an AI Elective to Encourage Undergraduate Research
This paper describes the design and execution of a roboticsthemed AI elective at a small liberal arts institution. An important goal of the course is to spark and nurture students...
Zachary Dodds
DDECS
2007
IEEE
201views Hardware» more  DDECS 2007»
15 years 4 months ago
Built in Defect Prognosis for Embedded Memories
: As scan compression replaces the traditional scan it is important to understand how it works with power. DFT MAX represents one of the two primary scan compression solutions used...
Prashant Dubey, Akhil Garg, Sravan Kumar Bhaskaran...
ESANN
2007
14 years 11 months ago
Structured reservoir computing with spatiotemporal chaotic attractors
Abstract. We approach the themes “computing with chaos” and “reservoir computing” in a unified setting. Different neural architectures are mentioned which display chaotic...
Carlos Lourenço
VAMOS
2010
Springer
14 years 11 months ago
Variability in Time - Product Line Variability and Evolution Revisited
In its basic form, a variability model describes the variations among similar artifacts from a structural point of view. It does not capture any information about when these variat...
Christoph Elsner, Goetz Botterweck, Daniel Lohmann...