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» Causal inference using the algorithmic Markov condition
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JMLR
2012
13 years 8 days ago
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation
This paper considers additive factorial hidden Markov models, an extension to HMMs where the state factors into multiple independent chains, and the output is an additive function...
J. Zico Kolter, Tommi Jaakkola
AAECC
2011
Springer
380views Algorithms» more  AAECC 2011»
14 years 4 months ago
The generalized road coloring problem and periodic digraphs
A proof of the Generalized Road Coloring Problem, independent of the recent work by Beal and Perrin, is presented, using both semigroup methods and Trakhtman’s algorithm. Algebra...
G. Budzban, Ph. Feinsilver
AAAI
2006
14 years 11 months ago
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
Hoifung Poon, Pedro Domingos
PE
2002
Springer
124views Optimization» more  PE 2002»
14 years 9 months ago
Continuous-time hidden Markov models for network performance evaluation
In this paper, we study the use of continuous-time hidden Markov models (CT-HMMs) for network protocol and application performance evaluation. We develop an algorithm to infer the...
Wei Wei, Bing Wang, Donald F. Towsley
OOPSLA
1991
Springer
15 years 1 months ago
Object-Oriented Type Inference
We present a new approach to inferring types in untyped object-oriented programs with inheritance, assignments, and late binding. It guarantees that all messages are understood, a...
Jens Palsberg, Michael I. Schwartzbach