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» Algorithms for Challenging Motif Problems
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FLAIRS
2006
13 years 9 months ago
Analysis of Galactic Spectra using Noise-Aware Learning Algorithms
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
H. Jair Escalante, Olac Fuentes
CC
2007
Springer
157views System Software» more  CC 2007»
14 years 2 months ago
New Algorithms for SIMD Alignment
Optimizing programs for modern multiprocessor or vector platforms is a major important challenge for compilers today. In this work, we focus on one challenging aspect: the SIMD ALI...
Liza Fireman, Erez Petrank, Ayal Zaks
NAACL
2007
13 years 9 months ago
Randomized Decoding for Selection-and-Ordering Problems
The task of selecting and ordering information appears in multiple contexts in text generation and summarization. For instance, methods for title generation construct a headline b...
Pawan Deshpande, Regina Barzilay, David R. Karger
IEAAIE
2009
Springer
14 years 2 months ago
Robust Singular Spectrum Transform
Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for c...
Yasser F. O. Mohammad, Toyoaki Nishida
ATAL
2007
Springer
14 years 2 months ago
Children in the forest: towards a canonical problem of spatio-temporal collaboration
Canonical problems are simplified representations of a class of real world problems. They allow researchers to compare algorithms in a standard setting which captures the most im...
Yi Luo, Ladislau Bölöni