495 search results - page 7 / 99 » Approximation algorithms for budgeted learning problems |
82
Voted
KDD
2005
ACM
15 years 3 months ago
2005
ACM
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
SODA
2012
ACM
13 years 1 days ago
2012
ACM
In the Stochastic Orienteering problem, we are given a metric, where each node also has a job located there with some deterministic reward and a random size. (Think of the jobs as...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
FOCS
2000
IEEE
15 years 1 months ago
2000
IEEE
Abstract. In the single source unsplittable min-cost flow problem, commodities must be routed simultaneously from a common source vertex to certain destination vertices in a given ...
UAI
2004
14 years 11 months ago
2004
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...