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ICML
2007
IEEE
16 years 6 months ago
Asymptotic Bayesian generalization error when training and test distributions are different
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
Keisuke Yamazaki, Klaus-Robert Müller, Masash...
ICML
2008
IEEE
16 years 6 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
ICML
2005
IEEE
16 years 6 months ago
Bayesian hierarchical clustering
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
Katherine A. Heller, Zoubin Ghahramani
144
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WWW
2006
ACM
16 years 6 months ago
Designing ethical phishing experiments: a study of (ROT13) rOnl query features
We study how to design experiments to measure the success rates of phishing attacks that are ethical and accurate, which are two requirements of contradictory forces. Namely, an e...
Markus Jakobsson, Jacob Ratkiewicz
WWW
2006
ACM
16 years 6 months ago
Semantic link based top-K join queries in P2P networks
An important issue arising from Peer-to-Peer applications is how to accurately and efficiently retrieve a set of K best matching data objects from different sources while minimizi...
Jie Liu, Liang Feng, Chao He