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JMLR
2010
154views more  JMLR 2010»
13 years 4 months ago
Infinite Predictor Subspace Models for Multitask Learning
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
Piyush Rai, Hal Daumé III
ICIAP
2009
ACM
14 years 4 months ago
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
Nicoletta Noceti, Barbara Caputo, Claudio Castelli...
IROS
2009
IEEE
146views Robotics» more  IROS 2009»
14 years 4 months ago
Robust constraint-consistent learning
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
ITICSE
2006
ACM
14 years 3 months ago
Peer teaching extends HCI learning
Crafting a good user experience requires skills in several disciplines. Few people have this breadth of knowledge, and undergraduate computer science students are no exception. En...
Beryl Plimmer, Robert Amor
VMV
2008
107views Visualization» more  VMV 2008»
13 years 11 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler