595 search results - page 19 / 119 » Learning Qualitative Models of Dynamic Systems |
122
Voted
AUTOMATICA
1999
15 years 2 months ago
1999
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
104
click to vote
AAAI
2008
15 years 4 months ago
2008
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...
109
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
139
click to vote
ALGOSENSORS
2004
Springer
15 years 6 months ago
2004
Springer
In this paper we introduce a dynamical model for wireless sensor networks. We obtain a convergent martingale for the broadcast process in such networks. To our knowledge, such mart...
139
click to vote
NIPS
1998
15 years 3 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...