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» Bias and the limits of pooling
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BMCBI
2007
99views more  BMCBI 2007»
13 years 8 months ago
Orthogonal projections to latent structures as a strategy for microarray data normalization
Background: During generation of microarray data, various forms of systematic biases are frequently introduced which limits accuracy and precision of the results. In order to prop...
Max Bylesjö, Daniel Eriksson, Andreas Sjö...
CORR
2004
Springer
119views Education» more  CORR 2004»
13 years 8 months ago
Exploring networks with traceroute-like probes: theory and simulations
Mapping the Internet generally consists in sampling the network from a limited set of sources by using traceroute-like probes. This methodology, akin to the merging of different s...
Luca Dall'Asta, J. Ignacio Alvarez-Hamelin, Alain ...
AINA
2009
IEEE
14 years 3 months ago
Medium Access Control in Large Scale Clusters for Wireless Sensor Networks
—One of the main advantages of clustering algorithms is the ability to allow networks to be physically divided into smaller regions, thereby increasing the theoretical maximum nu...
Pedro N. E. S. Barbosa, Neil M. White, Nick R. Har...
DAC
2003
ACM
14 years 9 months ago
Implications of technology scaling on leakage reduction techniques
The impact of technology scaling on three run-time leakage reduction techniques (Input Vector Control, Body Bias Control and Power Supply Gating) is evaluated by determining limit...
Yuh-Fang Tsai, David Duarte, Narayanan Vijaykrishn...
ICML
2001
IEEE
14 years 9 months ago
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
John D. Lafferty, Andrew McCallum, Fernando C. N. ...