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ICML
2000
IEEE
14 years 9 months ago
A Nonparametric Approach to Noisy and Costly Optimization
This paper describes Pairwise Bisection: a nonparametric approach to optimizing a noisy function with few function evaluations. The algorithm uses nonparametric reasoning about si...
Brigham S. Anderson, Andrew W. Moore, David Cohn
SOCO
2008
Springer
13 years 7 months ago
Context-aware, self-scaling Fuzzy ArtMap for received signal strength based location systems
Location awareness is the key capability of mobilecomputingapplications. Despitehighdemand, indoor location technologies have not become truly ubiquitous mainly due to their requir...
Uzair Ahmad, Andrey Gavrilov, Young-Koo Lee, Sungy...
WSC
2008
13 years 10 months ago
A modeling-based classification algorithm validated with simulated data
We present a Generalized Lotka-Volterra (GLV) based approach for modeling and simulation of supervised inductive learning, and construction of an efficient classification algorith...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
ICML
2010
IEEE
13 years 9 months ago
A Conditional Random Field for Multiple-Instance Learning
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...
Thomas Deselaers, Vittorio Ferrari
TNN
1998
76views more  TNN 1998»
13 years 8 months ago
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-d
— In this paper, we present a novel approach to partitioning pattern spaces using a multiobjective genetic algorithm for identifying (near-)optimal subspaces for hierarchical lea...
Rajeev Kumar, Peter Rockett