1310 search results - page 55 / 262 » Learning the k in k-means |
CONCUR
2006
Springer
15 years 1 months ago
2006
Springer
Boolean programs with recursion are convenient abstractions of sequential imperative programs, and can be represented as recursive state machines (RSMs) or pushdown automata. Motiv...
CLEIEJ
2008
14 years 10 months ago
2008
This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
ICMLA
2007
14 years 11 months ago
2007
We introduce a polynomial-time algorithm to learn Bayesian networks whose structure is restricted to nodes with in-degree at most k and to edges consistent with the optimal branch...
NIPS
2007
14 years 11 months ago
2007
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
ACMSE
2010
ACM
14 years 7 months ago
2010
ACM
Reinforcement Programming (RP) is a new technique for automatically generating a computer program using reinforcement learning methods. This paper describes how RP learned to gene...