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CHI
2006
ACM
14 years 9 months ago
Using perceptual grouping for object group selection
Modern graphical user interfaces support the direct manipulation of objects and efficient selection of objects is an integral part of this user interface paradigm. For the selecti...
Hoda Dehmeshki, Wolfgang Stürzlinger
WAIM
2004
Springer
14 years 2 months ago
Learning-Based Top-N Selection Query Evaluation over Relational Databases
A top-N selection query against a relation is to find the N tuples that satisfy the query condition the best but not necessarily completely. In this paper, we propose a new method ...
Liang Zhu, Weiyi Meng
NIPS
2004
13 years 10 months ago
Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
SIGCOMM
2010
ACM
13 years 9 months ago
DONAR: decentralized server selection for cloud services
Geo-replicated services need an effective way to direct client requests to a particular location, based on performance, load, and cost. This paper presents DONAR, a distributed sy...
Patrick Wendell, Joe Wenjie Jiang, Michael J. Free...
APIN
2008
102views more  APIN 2008»
13 years 9 months ago
Approximation-based feature selection and application for algae population estimation
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
Qiang Shen, Richard Jensen