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ICML
2009
IEEE
16 years 5 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
WECWIS
2008
IEEE
127views ECommerce» more  WECWIS 2008»
15 years 11 months ago
SSWiM: A Semantic Service, Wrapper and Invocation Manager
Integrating service description, discovery, and invocation functionalities presents several fundamental problems in the management of web services and is a basic problem for compo...
Anna Sibirtseva, Zhongnan Shen, Jianwen Su, Fulian...
139
Voted
SSDBM
2003
IEEE
111views Database» more  SSDBM 2003»
15 years 10 months ago
Performance Evaluation of Spatio-temporal Selectivity Estimation Techniques
— Many novel spatio-temporal applications deal with moving objects. In such environments, a database typically maintains the initial position and the moving function for each obj...
Marios Hadjieleftheriou, George Kollios, Vassilis ...
SSDBM
2000
IEEE
128views Database» more  SSDBM 2000»
15 years 9 months ago
Supporting Content-Based Searches on Time Series via Approximation
Fast retrieval of time series in terms of their contents is important in many application domains. This paper studies database techniques supporting fast searches for time series ...
Changzhou Wang, Xiaoyang Sean Wang
144
Voted
SDM
2003
SIAM
148views Data Mining» more  SDM 2003»
15 years 6 months ago
ATLaS: A Native Extension of SQL for Data Mining
A lack of power and extensibility in their query languages has seriously limited the generality of DBMSs and hampered their ability to support data mining applications. Thus, ther...
Haixun Wang, Carlo Zaniolo