NIPS
2007
13 years 10 months ago
2007
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
NIPS
2007
13 years 10 months ago
2007
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
NIPS
2007
13 years 10 months ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...
NIPS
2007
13 years 10 months ago
2007
An important problem in many fields is the analysis of counts data to extract meaningful latent components. Methods like Probabilistic Latent Semantic Analysis (PLSA) and Latent ...
NIPS
2007
13 years 10 months ago
2007
We present a simple variant of the k-d tree which automatically adapts to intrinsic low dimensional structure in data.
NIPS
2007
13 years 10 months ago
2007
In many structured prediction problems, the highest-scoring labeling is hard to compute exactly, leading to the use of approximate inference methods. However, when inference is us...
NIPS
2007
13 years 10 months ago
2007
NIPS
2007
13 years 10 months ago
2007
Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
NIPS
2007
13 years 10 months ago
2007
In this paper we formulate a novel AND/OR graph representation capable of describing the different configurations of deformable articulated objects such as horses. The representa...
NIPS
2007
13 years 10 months ago
2007
Stimulus selectivity of sensory neurons is often characterized by estimating their receptive field properties such as orientation selectivity. Receptive fields are usually deriv...