199 search results - page 18 / 40 » A general agnostic active learning algorithm |
KDD
2007
ACM
14 years 8 months ago
2007
ACM
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Data-driven Spoken Language Understanding (SLU) systems need semantically annotated data which are expensive, time consuming and prone to human errors. Active learning has been su...
WWW
2004
ACM
14 years 8 months ago
2004
ACM
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...