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NIPS
2008
15 years 9 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ICCV
2007
IEEE
16 years 9 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 8 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
CHI
2010
ACM
16 years 2 months ago
An exploratory study of unsupervised mobile learning in rural India
CT Cellphones have the potential to improve education for the millions of underprivileged users in the developing world. However, mobile learning in developing countries remains un...
Anuj Kumar, Anuj Tewari, Geeta Shroff, Deepti Chit...
ECCC
2010
124views more  ECCC 2010»
15 years 7 months ago
Lower Bounds and Hardness Amplification for Learning Shallow Monotone Formulas
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
Vitaly Feldman, Homin K. Lee, Rocco A. Servedio