495 search results - page 60 / 99 » Approximation algorithms for budgeted learning problems |
123
Voted
CIKM
2010
Springer
15 years 20 days ago
2010
Springer
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
124
Voted
AAAI
2010
15 years 4 months ago
2010
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
140
Voted
ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
103
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We present a discrete spectral framework for the sparse or cardinality-constrained solution of a generalized Rayleigh quotient. This NPhard combinatorial optimization problem is c...
145
Voted
JAIR
2002
15 years 2 months ago
2002
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...