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ACML
2009
Springer
15 years 8 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo
152
Voted
MICCAI
2007
Springer
15 years 10 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
CORR
2011
Springer
230views Education» more  CORR 2011»
14 years 11 months ago
Computational Rationalization: The Inverse Equilibrium Problem
Modeling the behavior of imperfect agents from a small number of observations is a difficult, but important task. In the singleagent decision-theoretic setting, inverse optimal co...
Kevin Waugh, Brian Ziebart, J. Andrew Bagnell
AIED
2011
Springer
14 years 7 months ago
Faster Teaching by POMDP Planning
Both human and automated tutors must infer what a student knows and plan future actions to maximize learning. Though substantial research has been done on tracking and modeling stu...
Anna N. Rafferty, Emma Brunskill, Thomas L. Griffi...
TOG
2010
126views more  TOG 2010»
14 years 10 months ago
Automatic generation of destination maps
Destination maps are navigational aids designed to show anyone within a region how to reach a location (the destination). Handdesigned destination maps include only the most impor...
Johannes Kopf, Maneesh Agrawala, David Bargeron, D...