199 search results - page 18 / 40 » A general agnostic active learning algorithm |
101
Voted
KDD
2007
ACM
16 years 2 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...
161
Voted
CORR
2011
Springer
14 years 9 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...
123
Voted
ICASSP
2008
IEEE
15 years 9 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...
139
Voted
WWW
2004
ACM
16 years 3 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 ...
136
Voted
GECCO
2006
Springer
15 years 6 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...