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ICML
2010
IEEE
13 years 11 months ago
Learning Efficiently with Approximate Inference via Dual Losses
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
Ofer Meshi, David Sontag, Tommi Jaakkola, Amir Glo...
IJRR
2010
93views more  IJRR 2010»
13 years 8 months ago
Autonomous Helicopter Aerobatics through Apprenticeship Learning
Autonomous helicopter flight is widely regarded to be a highly challenging control problem. Despite this fact, human experts can reliably fly helicopters through a wide range of m...
Pieter Abbeel, Adam Coates, Andrew Y. Ng
NECO
2010
136views more  NECO 2010»
13 years 8 months ago
Learning to Represent Spatial Transformations with Factored Higher-Order Boltzmann Machines
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...
Roland Memisevic, Geoffrey E. Hinton
ML
2010
ACM
175views Machine Learning» more  ML 2010»
13 years 4 months ago
Concept learning in description logics using refinement operators
With the advent of the Semantic Web, description logics have become one of the most prominent paradigms for knowledge representation and reasoning. Progress in research and applica...
Jens Lehmann, Pascal Hitzler
AGILEDC
2007
IEEE
14 years 4 months ago
Large Scale Agile Transformation in an On-Demand World
Salesforce.com has recently completed an agile transformation of a two hundred person team within a three month window. This is one of the largest and fastest “big-bang” agile...
Chris Fry, Steve Greene