850 search results - page 40 / 170 » Evaluating machine learning for information extraction |
ICML
2000
IEEE
16 years 2 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
127
Voted
FUIN
2008
15 years 1 months ago
2008
Abstract. The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks...
135
click to vote
JCIT
2010
14 years 8 months ago
2010
With the development of telecom business, customer churn prediction becomes more and more important. An outstanding issue in customer churn prediction is high dimensional problem....
100
click to vote
PVLDB
2008
15 years 1 months ago
2008
In this paper we describe a new approach to extract element labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to retrieve a...
131
Voted
ECIR
2010
Springer
14 years 12 months ago
2010
Springer
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...