Sciweavers

2681 search results - page 120 / 537
» Learning to learn with the informative vector machine
Sort
View
ICML
2009
IEEE
16 years 7 months ago
Robust feature extraction via information theoretic learning
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...
Xiaotong Yuan, Bao-Gang Hu
ICML
2005
IEEE
16 years 7 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore
IJCNN
2006
IEEE
16 years 4 days ago
Alleviating Catastrophic Forgetting via Multi-Objective Learning
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
Yaochu Jin, Bernhard Sendhoff
MLDM
1999
Springer
15 years 10 months ago
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
In large content-based image database applications, e cient information retrieval depends heavily on good indexing structures of the extracted features. While indexing techniques f...
Irwin King, Tak-Kan Lau
ECTEL
2010
Springer
15 years 6 months ago
Ambient Displays and Game Design Patterns
In this paper we describe a social learning game we implemented to evaluate various means of ubiquitous learning support. Making use of game design patterns it was possible to impl...
Sebastian Kelle, Dirk Börner, Marco Kalz, Mar...