ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this r...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was designed particularly for its...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Multi-view learning has become a hot topic during the past few years. In this paper, we first characterize the sample complexity of multi-view active learning. Under the expansion...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Causal analysis of continuous-valued variables typically uses either autoregressive models or linear Gaussian Bayesian networks with instantaneous effects. Estimation of Gaussian ...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We study the problem of finding the dominant eigenvector of the sample covariance matrix, under additional constraints on the vector: a cardinality constraint limits the number of...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE