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SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 2 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
216
Voted
ICDE
2009
IEEE
205views Database» more  ICDE 2009»
16 years 2 months ago
Top-k Exploration of Query Candidates for Efficient Keyword Search on Graph-Shaped (RDF) Data
Keyword queries enjoy widespread usage as they represent an intuitive way of specifying information needs. Recently, answering keyword queries on graph-structured data has emerged ...
Thanh Tran, Haofen Wang, Sebastian Rudolph, Philip...
97
Voted
ICML
2005
IEEE
16 years 1 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
96
Voted
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
16 years 26 days ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
123
Voted
RECOMB
2006
Springer
16 years 23 days ago
A Parameterized Algorithm for Protein Structure Alignment
This paper proposes a parameterized algorithm for aligning two protein structures, in the case where one protein structure is represented by a contact map graph and the other by a ...
Jinbo Xu, Feng Jiao, Bonnie Berger