143 search results - page 9 / 29 » How to rank with few errors |
AAAI
2008
15 years 2 months ago
2008
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
116
Voted
CISS
2008
IEEE
15 years 6 months ago
2008
IEEE
—Thus far, sparse representations have been exploited largely in the context of robustly estimating functions in a noisy environment from a few measurements. In this context, the...
NA
2007
14 years 11 months ago
2007
Abstract. We discuss periodization of smooth functions f of d variables for approximation of multivariate integrals. The benefit of periodization is that we may use lattice rules,...
95
Voted
VLDB
2005
ACM
15 years 5 months ago
2005
ACM
We study the problem of applying adaptive filters for approximate query processing in a distributed stream environment. We propose filter bound assignment protocols with the obj...
WWW
2004
ACM
16 years 10 days ago
2004
ACM
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...