JMLR
2006
13 years 11 months ago
2006
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
JMLR
2006
13 years 11 months ago
2006
We describe polynomial
JMLR
2006
13 years 11 months ago
2006
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
EJC
2007
13 years 11 months ago
2007
We construct algorithms for deciding essentially any minor-closed parameter, with explicit time bounds. This result strengthens previous results by Robertson and Seymour [1,2], Fr...
ECCC
2007
13 years 11 months ago
2007
We study the notion of learning in an oblivious changing environment. Existing online learning algorithms which minimize regret are shown to converge to the average of all locally...
EC
2007
13 years 11 months ago
2007
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
KAIS
2008
13 years 11 months ago
2008
This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, Page...
DSS
2007
13 years 11 months ago
2007
We present two algorithms for learning large-scale gene regulatory networks from microarray data: a modified informationtheory-based Bayesian network algorithm and a modified asso...
JDA
2006
13 years 11 months ago
2006
Abstract. Sreedhar et al. [SGL98, Sre95] have presented an eliminationbased algorithm to solve data flow problems. A thorough analysis of the algorithm shows that the worst-case pe...
JSW
2008
13 years 11 months ago
2008
In this paper we present an algorithm for thresholding images of historical documents. The main objective is to generate high quality monochromatic images in order to make them eas...