294 search results - page 44 / 59 » Optimized fixed-size kernel models for large data sets |
SIGMOD
2011
ACM
12 years 11 months ago
2011
ACM
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
PERCOM
2007
ACM
14 years 8 months ago
2007
ACM
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
ICDCS
2005
IEEE
14 years 2 months ago
2005
IEEE
We study how a server may disseminate a large volume of data to a set of clients in the shortest possible time. We first consider a cooperative scenario where clients are willing...
NIPS
1997
13 years 9 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
IJIT
2004
13 years 9 months ago
2004
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...