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» Evaluating learning algorithms and classifiers
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96
Voted
LREC
2010
176views Education» more  LREC 2010»
15 years 2 months ago
There's no Data like More Data? Revisiting the Impact of Data Size on a Classification Task
In the paper we investigate the impact of data size on a Word Sense Disambiguation task (WSD). We question the assumption that the knowledge acquisition bottleneck, which is known...
Ines Rehbein, Josef Ruppenhofer
83
Voted
ICPR
2006
IEEE
16 years 1 months ago
Competitive Mixtures of Simple Neurons
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...
ICPR
2004
IEEE
16 years 1 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
GLOBECOM
2009
IEEE
15 years 7 months ago
Movement Recognition Using Body Area Networks
—Significant research has been done on recognizing the daily activities using acceleration data but few works have focused on classifying the movements comprising an activity du...
John Paul Varkey, Dario Pompili
98
Voted
IEAAIE
2004
Springer
15 years 6 months ago
Recognition of Emotional States in Spoken Dialogue with a Robot
For flexible interactions between a robot and humans, we address the issue of automatic recognition of human emotions during the interaction such as embarrassment, pleasure, and af...
Kazunori Komatani, Ryosuke Ito, Tatsuya Kawahara, ...