3208 search results - page 477 / 642 » A Lower Bound for Primality |
172
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
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...
205
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
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...
186
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
262
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
150
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WWW
2006
ACM
16 years 7 months ago
2006
ACM
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...