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» A Framework for Multiple-Instance Learning
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INTERSPEECH
2010
14 years 10 months ago
Exploring speaker characteristics for meeting summarization
In this paper, we investigate using meeting-specific characteristics to improve extractive meeting summarization, in particular, speaker-related attributes (such as verboseness, g...
Fei Liu, Yang Liu
131
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ICML
2009
IEEE
16 years 4 months ago
Good learners for evil teachers
We consider a supervised machine learning scenario where labels are provided by a heterogeneous set of teachers, some of which are mediocre, incompetent, or perhaps even malicious...
Ofer Dekel, Ohad Shamir
ICML
2008
IEEE
16 years 4 months ago
Classification using discriminative restricted Boltzmann machines
Recently, many applications for Restricted Boltzmann Machines (RBMs) have been developed for a large variety of learning problems. However, RBMs are usually used as feature extrac...
Hugo Larochelle, Yoshua Bengio
DIGITEL
2008
IEEE
15 years 10 months ago
Micro Adaptive, Non-invasive Knowledge Assessment in Educational Games
Most existing educational games cannot compete with their non-educational counterparts in terms of visual and narrative quality, gameplay, or adaptability. Amongst the most advanc...
Michael D. Kickmeier-Rust, Cord Hockemeyer, Dietri...
ICALT
2008
IEEE
15 years 10 months ago
Deriving E-Assessment from a Competency Model
Self-assessment is a crucial component of learning. Creating effective questions is time-consuming, however, because it may require considerable resources and the skill of critica...
Onjira Sitthisak, Lester Gilbert, Hugh C. Davis