87
Voted
CORR
2002
Springer
15 years 17 days ago
2002
Springer
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
94
Voted
BMCBI
2004
15 years 19 days ago
2004
Background: Non-linearities in observed log-ratios of gene expressions, also known as intensity dependent log-ratios, can often be accounted for by global biases in the two channe...
90
Voted
CPHYSICS
2008
15 years 25 days ago
2008
We derive the bias function that minimizes the statistical error of free energy differences calculated in work-biased fast-switching simulations. The optimum bias function is comp...
91
Voted
CORR
2010
Springer
15 years 26 days ago
2010
Springer
Abstract--Breadth First Search (BFS) and other graph traversal techniques are widely used for measuring large unknown graphs, such as online social networks. It has been empiricall...
91
Voted
BMCBI
2007
15 years 26 days ago
2007
Background: When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that...
120
Voted
BMCBI
2010
15 years 26 days ago
2010
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
95
Voted
CRYPTO
2010
Springer
15 years 29 days ago
2010
Springer
Coin-tossing protocols are protocols that generate a random bit with uniform distribution. These protocols are used as a building block in many cryptographic protocols. Cleve [STOC...
117
Voted
WSC
2000
15 years 2 months ago
2000
We compare the performance of five well-known truncation heuristics for mitigating the effects of initialization bias in the output analysis of steady-state simulations. Two of th...
74
Voted
NIPS
2003
15 years 2 months ago
2003
The bootstrap has become a popular method for exploring model (structure) uncertainty. Our experiments with artificial and realworld data demonstrate that the graphs learned from...
98
Voted
CP
2008
Springer
15 years 2 months ago
2008
Springer
Backbone variables have the same assignment in all solutions to a given constraint satisfaction problem; more generally, bias represents the proportion of solutions that assign a v...