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» Optimizing Complex Loss Functions in Structured Prediction
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ISMB
1994
13 years 9 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
BMCBI
2006
136views more  BMCBI 2006»
13 years 7 months ago
Java GUI for InterProScan (JIPS): A tool to help process multiple InterProScans and perform ortholog analysis
Background: Recent, rapid growth in the quantity of available genomic data has generated many protein sequences that are not yet biochemically classified. Thus, the prediction of ...
Aijazuddin Syed, Chris Upton
DAC
2009
ACM
14 years 8 months ago
Event-driven gate-level simulation with GP-GPUs
Logic simulation is a critical component of the design tool flow in modern hardware development efforts. It is used widely ? from high-level descriptions down to gate-level ones ?...
Debapriya Chatterjee, Andrew DeOrio, Valeria Berta...
STOC
2009
ACM
172views Algorithms» more  STOC 2009»
14 years 8 months ago
Linear time approximation schemes for the Gale-Berlekamp game and related minimization problems
We design a linear time approximation scheme for the GaleBerlekamp Switching Game and generalize it to a wider class of dense fragile minimization problems including the Nearest C...
Marek Karpinski, Warren Schudy
ICC
2007
IEEE
14 years 2 months ago
Power Managed Packet Switching
— High power dissipation in packet switches and routers is fast turning into a key problem, owing to increasing line speeds and decreasing chip sizes. To address this issue, we i...
Aditya Dua, Benjamin Yolken, Nicholas Bambos