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ICML
2010
IEEE
15 years 5 months ago
A Simple Algorithm for Nuclear Norm Regularized Problems
Optimization problems with a nuclear norm regularization, such as e.g. low norm matrix factorizations, have seen many applications recently. We propose a new approximation algorit...
Martin Jaggi, Marek Sulovský
CORR
2010
Springer
106views Education» more  CORR 2010»
15 years 4 months ago
MDPs with Unawareness
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
Joseph Y. Halpern, Nan Rong, Ashutosh Saxena
127
Voted
AI
2006
Springer
15 years 4 months ago
Discovering the linear writing order of a two-dimensional ancient hieroglyphic script
This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
Shou de Lin, Kevin Knight
COMSIS
2006
129views more  COMSIS 2006»
15 years 4 months ago
Constraint-Based Knowledge Representation for Individualized Instruction
Traditional knowledge representations were developed to encode complete, explicit and executable programs, a goal that makes them less than ideal for representing the incomplete an...
Stellan Ohlsson, Antonija Mitrovic
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
15 years 2 months ago
Viewpoint detection models for sequential embodied object category recognition
Abstract— This paper proposes a method for learning viewpoint detection models for object categories that facilitate sequential object category recognition and viewpoint planning...
David Meger, Ankur Gupta, James J. Little