1310 search results - page 33 / 262 » Learning the k in k-means |
SIGCSE
2005
ACM
15 years 7 months ago
2005
ACM
The author shares techniques used in a successful "Ethics and Professionalism" class at California State University, San Bernardino. The author describes active learning...
ALT
2002
Springer
15 years 11 months ago
2002
Springer
Abstract. In this paper we analyze the relationships between the eigenvalues of the m × m Gram matrix K for a kernel k(·, ·) corresponding to a sample x1, . . . , xm drawn from ...
108
click to vote
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
This paper presents a simple randomised algorithm for recovering high-dimensional sparse functions, i.e. functions f : [0, 1]d → R which depend effectively only on k out of d va...
141
click to vote
JMLR
2012
13 years 4 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
127
click to vote
JOT
2010
15 years 10 days ago
2010
The concept of a learning object (LO) has spread quickly without a very specific universal definition, and though born originally from the idea of object oriented design, with a ...