662 search results - page 59 / 133 » Making inferences with small numbers of training sets |
PERCOM
2007
ACM
14 years 8 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
KDD
2010
ACM
14 years 25 days ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
CORR
2011
Springer
13 years 4 months ago
2011
Springer
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
CIVR
2010
Springer
13 years 7 months ago
2010
Springer
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
The kernel Perceptron is an appealing online learning algorithm that has a drawback: whenever it makes an error it must increase its support set, which slows training and testing ...