1435 search results - page 58 / 287 » Generalization Error Bounds Using Unlabeled Data |
94
Voted
PKDD
2010
Springer
14 years 10 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
164
Voted
AII
1992
15 years 4 months ago
1992
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
117
Voted
SAC
2008
ACM
15 years 6 hour ago
2008
ACM
We present an analogy between the operation of a Wireless Sensor Network and the sampling and reconstruction of a signal. We measure the impact of three factors on the quality of ...
109
Voted
COLT
2000
Springer
15 years 4 months ago
2000
Springer
In this paper we examine master regression algorithms that leverage base regressors by iteratively calling them on modified samples. The most successful leveraging algorithm for c...
109
Voted
MOC
2010
14 years 7 months ago
2010
The Lanczos method is often used to solve a large and sparse symmetric matrix eigenvalue problem. There is a well-established convergence theory that produces bounds to predict the...