43
Voted
ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
109
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ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...
51
Voted
ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
84
Voted
ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
81
Voted
ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
85
Voted
ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the multiagent setting of repeated...
94
Voted
ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
Exponential Family PSR (EFPSR) models capture stochastic dynamical systems by representing state as the parameters of an exponential family distribution over a shortterm window of...
81
Voted
ICML
2008
IEEE
16 years 7 days ago
2008
IEEE
What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...