Sciweavers

1173 search results - page 165 / 235
» Ranking functions and rankings on languages
Sort
View
ICCV
2003
IEEE
14 years 9 months ago
Feature Selection for Unsupervised and Supervised Inference: the Emergence of Sparsity in a Weighted-based Approach
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
Lior Wolf, Amnon Shashua
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
14 years 2 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
ADC
2006
Springer
136views Database» more  ADC 2006»
14 years 1 months ago
A multi-step strategy for approximate similarity search in image databases
Many strategies for similarity search in image databases assume a metric and quadratic form-based similarity model where an optimal lower bounding distance function exists for fil...
Paul Wing Hing Kwan, Junbin Gao
ECIR
2003
Springer
13 years 9 months ago
From Uncertain Inference to Probability of Relevance for Advanced IR Applications
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
Henrik Nottelmann, Norbert Fuhr
MCS
2008
Springer
13 years 7 months ago
Estimation of cost efficiency of Australian universities
The purpose of this paper is to quantify the efficiency with which Australian universities utilise their teaching resources. The study estimates the cost efficiency of 36 universi...
Jocelyn Horne, Baiding Hu