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ICML
2003
IEEE
16 years 7 months ago
Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
Chris Mesterharm
ICML
1996
IEEE
16 years 7 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
ISBI
2006
IEEE
16 years 7 months ago
Analysis of unknown-location signal detectability for regularized tomographic image reconstruction
Our goal is to optimize regularized image reconstruction methods for emission tomography with respect to the task of detecting small lesions of unknown location in the reconstruct...
Anastasia Yendiki, Jeffrey A. Fessler
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 7 months ago
Online novelty detection on temporal sequences
: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
Junshui Ma, Simon Perkins
VLSID
2004
IEEE
112views VLSI» more  VLSID 2004»
16 years 7 months ago
Profiling Driven Computation Reuse: An Embedded Software Synthesis Technique for Energy and Performance Optimization
It has been observed that even highly optimized software programs perform "redundant" computations during their execution, due to the nature (statistics) of the values a...
Weidong Wang, Anand Raghunathan, Niraj K. Jha