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NIPS
2007
15 years 4 months ago
Multiple-Instance Active Learning
We present a framework for active learning in the multiple-instance (MI) setting. In an MI learning problem, instances are naturally organized into bags and it is the bags, instea...
Burr Settles, Mark Craven, Soumya Ray
ICML
2005
IEEE
16 years 4 months ago
Generalized LARS as an effective feature selection tool for text classification with SVMs
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
S. Sathiya Keerthi
144
Voted
IVC
2007
97views more  IVC 2007»
15 years 2 months ago
Stochastic exploration and active learning for image retrieval
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
Matthieu Cord, Philippe Henri Gosselin, Sylvie Phi...
ICRA
2008
IEEE
216views Robotics» more  ICRA 2008»
15 years 9 months ago
Active robot calibration algorithm
— This paper presents a new updating algorithm to reduce the complexity of computing an observability index for kinematic calibration of robots. An active calibration algorithm i...
Yu Sun, John M. Hollerbach
STACS
2004
Springer
15 years 8 months ago
Active Context-Free Games
An Active Context-Free Game is a game with two players (Romeo and Juliet) on strings over a finite alphabet. In each move, Juliet selects a position of the current word and Romeo ...
Anca Muscholl, Thomas Schwentick, Luc Segoufin