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BMCBI
2008
136views more  BMCBI 2008»
13 years 9 months ago
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Background: When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be incl...
Harald Binder, Martin Schumacher
BMCBI
2006
134views more  BMCBI 2006»
13 years 9 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
ICMCS
2006
IEEE
181views Multimedia» more  ICMCS 2006»
14 years 3 months ago
A Fast Downsizing Video Transcoder for H.264/AVC with Rate-Distortion Optimal Mode Decision
This paper focuses on the mode decision and motion selection problem when H.264/AVC video streams are transcoded in spatial resolution. A fast downsizing transcoding scheme is dev...
Huifeng Shen, Xiaoyan Sun, Feng Wu, Houqiang Li, S...
SAMOS
2004
Springer
14 years 2 months ago
Scalable Instruction-Level Parallelism.
This paper presents a model for instruction-level distributed computing that allows the implementation of scalable chip multiprocessors. Based on explicit microthreading it serves ...
Chris R. Jesshope
BMCBI
2010
112views more  BMCBI 2010»
13 years 9 months ago
Knowledge-based analysis of microarrays for the discovery of transcriptional regulation relationships
Background: The large amount of high-throughput genomic data has facilitated the discovery of the regulatory relationships between transcription factors and their target genes. Wh...
Junhee Seok, Amit Kaushal, Ronald W. Davis, Wenzho...