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ML
2010
ACM
185views Machine Learning» more  ML 2010»
15 years 18 days 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
COLT
2007
Springer
16 years 17 hour 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
16 years 12 days 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
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
16 years 4 days 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 6 months ago
Structural Machine Learning with Galois Lattice and Graphs
Michel Liquiere, Jean Sallantin