NIPS
2004
13 years 11 months ago
2004
In this paper we propose a probabilistic model for online document clustering. We use non-parametric Dirichlet process prior to model the growing number of clusters, and use a pri...
NIPS
2004
2004
Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification
13 years 11 months ago
We consider the problem of deriving class-size independent generalization bounds for some regularized discriminative multi-category classification methods. In particular, we obtai...
NIPS
2004
13 years 11 months ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
NIPS
2004
13 years 11 months ago
2004
We study a number of open issues in spectral clustering: (i) Selecting the appropriate scale of analysis, (ii) Handling multi-scale data, (iii) Clustering with irregular backgroun...
NIPS
2004
13 years 11 months ago
2004
This paper analyses the Contrastive Divergence algorithm for learning statistical parameters. We relate the algorithm to the stochastic approximation literature. This enables us t...
NIPS
2004
13 years 11 months ago
2004
NIPS
2004
13 years 11 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
NIPS
2004
13 years 11 months ago
2004
The computation and memory required for kernel machines with N training samples is at least O(N2 ). Such a complexity is significant even for moderate size problems and is prohibi...
NIPS
2004
13 years 11 months ago
2004
In this paper, we use the rollout method for policy improvement to analyze a version of Klondike solitaire. This version, sometimes called thoughtful solitaire, has all cards reve...
NIPS
2004
13 years 11 months ago
2004
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...