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ML
2010
ACM
185views Machine Learning» more  ML 2010»
14 years 8 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
120
Voted
COLT
2007
Springer
15 years 8 months ago
Resource-Bounded Information Gathering for Correlation Clustering
We present a new class of problems, called resource-bounded information gathering for correlation clustering. Our goal is to perform correlation clustering under circumstances in w...
Pallika Kanani, Andrew McCallum
FCT
2009
Springer
15 years 8 months ago
Competitive Group Testing and Learning Hidden Vertex Covers with Minimum Adaptivity
Suppose that we are given a set of n elements d of which are “defective”. A group test can check for any subset, called a pool, whether it contains a defective. It is well know...
Peter Damaschke, Azam Sheikh Muhammad
107
Voted
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 8 months ago
A learning framework for generic sensory-motor maps
— We present a new approach to cope with unknown redundant systems. For this we present i) an online algorithm that learns general input-output restrictions and, ii) a method tha...
Manuel Lopes, Bruno D. Damas
ICML
1998
IEEE
16 years 2 months ago
Structural Machine Learning with Galois Lattice and Graphs
Michel Liquiere, Jean Sallantin