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» From Data Privacy to Location Privacy: Models and Algorithms
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FOCS
2008
IEEE
16 years 7 days ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
RECOMB
2003
Springer
16 years 6 months ago
Transforming men into mice: the Nadeau-Taylor chromosomal breakage model revisited
Although analysis of genome rearrangements was pioneered by Dobzhansky and Sturtevant 65 years ago, we still know very little about the rearrangement events that produced the exis...
Pavel A. Pevzner, Glenn Tesler
BMCBI
2008
112views more  BMCBI 2008»
15 years 5 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...
181
Voted
IVC
2002
148views more  IVC 2002»
15 years 5 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
15 years 3 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams