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OOPSLA
1989
Springer
15 years 10 months ago
Static Type Inference for Parametric Classes
Method inheritance and data abstraction are central features of objectoriented programming that are attained through a hierarchical organization of classes. Recent studies have sh...
Atsushi Ohori, Peter Buneman
AAAI
2007
15 years 8 months ago
A Robot That Uses Existing Vocabulary to Infer Non-Visual Word Meanings from Observation
The authors present TWIG, a visually grounded wordlearning system that uses its existing knowledge of vocabulary, grammar, and action schemas to help it learn the meanings of new ...
Kevin Gold, Brian Scassellati
NIPS
2008
15 years 8 months ago
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Ben Calderhead, Mark Girolami, Neil D. Lawrence
CORR
2007
Springer
109views Education» more  CORR 2007»
15 years 6 months ago
Optimal Causal Inference
We consider an information-theoretic objective function for statistical modeling of time series that embodies a parametrized trade-off between the predictive power of a model and...
Susanne Still, James P. Crutchfield, Christopher J...
CORR
2012
Springer
187views Education» more  CORR 2012»
14 years 2 months ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä