209 search results - page 32 / 42 » Analyzing the Errors of Unsupervised Learning |
NIPS
2001
13 years 8 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
UAI
2003
13 years 8 months ago
2003
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
ML
2000
ACM
13 years 7 months ago
2000
ACM
Abstract. A single mechanism is responsible for three pathologies of induction algorithms: attribute selection errors, overfitting, and oversearching. In each pathology, induction ...
GECCO
2007
Springer
2007
Springer
Exploring medical data using visual spaces with genetic programming and implicit functional mappings
14 years 1 months ago
Two medical data sets (Breast cancer and Colon cancer) are investigated within a visual data mining paradigm through the unsupervised construction of virtual reality spaces using ...