ICML
2008
IEEE
15 years 10 days ago
2008
IEEE
ICML
2008
IEEE
15 years 10 days 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
15 years 10 days 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
15 years 10 days 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
15 years 10 days 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
15 years 10 days ago
2008
IEEE
ICML
2008
IEEE
15 years 10 days 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
15 years 10 days 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
15 years 10 days 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
15 years 10 days ago
2008
IEEE