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JMLR
2006
186views more  JMLR 2006»
15 years 6 months ago
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
15 years 4 months ago
Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations
In the future, robotic surgical assistants may assist surgeons by performing specific subtasks such as retraction and suturing to reduce surgeon tedium and reduce the duration of s...
Jur van den Berg, Stephen Miller, Daniel Duckworth...
COMPUTING
2011
15 years 1 months ago
Private cloud for collaboration and e-Learning services: from IaaS to SaaS
Abstract The idea behind Cloud Computing is to deliver Infrastructure-, Platformand Software-as-a-Service (IaaS, PaaS and SaaS) over the Internet on an easy payper-use business mod...
Frank Dölitzscher, Anthony Sulistio, Christop...
IUI
2006
ACM
16 years 11 days ago
Interactive learning of structural shape descriptions from automatically generated near-miss examples
Sketch interfaces provide more natural interaction than the traditional mouse and palette tool, but can be time consuming to build if they have to be built anew for each new domai...
Tracy Hammond, Randall Davis
AGENTS
2001
Springer
15 years 11 months ago
Using rat navigation models to learn orientation from visual input on a mobile robot
Rodents possess extraordinary navigation abilities that are far in excess of what current state-of-the-art robot agents are capable of. This paper describes research that is part ...
Brett Browning