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CBMS
2006
IEEE
14 years 1 months ago
Machine Learning Techniques to Enable Closed-Loop Control in Anesthesia
The growing availability of high throughput measurement devices in the operating room makes possible the collection of a huge amount of data about the state of the patient and the...
Olivier Caelen, Gianluca Bontempi, Eddy Coussaert,...
EUROCRYPT
2006
Springer
13 years 11 months ago
Learning a Parallelepiped: Cryptanalysis of GGH and NTRU Signatures
Abstract. Lattice-based signature schemes following the GoldreichGoldwasser-Halevi (GGH) design have the unusual property that each signature leaks information on the signer's...
Phong Q. Nguyen, Oded Regev
ISPW
2006
IEEE
14 years 1 months ago
Automated Recognition of Low-Level Process: A Pilot Validation Study of Zorro for Test-Driven Development
Abstract. Zorro is a system designed to automatically determine whether a developer is complying with the Test-Driven Development (TDD) process. Automated recognition of TDD could ...
Hongbing Kou, Philip M. Johnson
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
14 years 13 days ago
Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...
PREMI
2005
Springer
14 years 1 months ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...