MCFNS
2010
13 years 5 months ago
2010
Dot grids are often used to estimate the proportion of land cover belonging to some class in an aerial photograph. Interpreter misclassification is an often-ignored source of error...
WWW
2011
ACM
13 years 5 months ago
2011
ACM
Many real-life graphs such as social networks and peer-topeer networks capture the relationships among the nodes by using trust scores to label the edges. Important usage of such ...
WWW
2011
ACM
13 years 5 months ago
2011
ACM
Modeling a user’s click-through behavior in click logs is a challenging task due to the well-known position bias problem. Recent advances in click models have adopted the examin...
WWW
2011
ACM
13 years 5 months ago
2011
ACM
Measuring the causal effects of online advertising (adfx) on user behavior is important to the health of the WWW publishing industry. In this paper, using three controlled experi...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...
SIGSOFT
2010
ACM
13 years 8 months ago
2010
ACM
Empirical studies of software defects rely on links between bug databases and program code repositories. This linkage is typically based on bug-fixes identified in developer-enter...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Verification decisions are often based on second order statistics estimated from a set of samples. Ongoing growth of computational resources allows for considering more and more fe...
JCT
2010
13 years 9 months ago
2010
An Avoider-Enforcer game is played by two players, called Avoider and Enforcer, on a hypergraph F ⊆ 2X . The players claim previously unoccupied elements of the board X in turns...
ML
1998
ACM
13 years 10 months ago
1998
ACM
It is well known that prior knowledge or bias can speed up learning, at least in theory. It has proved di cult to make constructive use of prior knowledge, so that approximately c...
JAIR
2000
13 years 10 months ago
2000
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...