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» Approximate Learning of Dynamic Models
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RTAS
2003
IEEE
15 years 7 months ago
Modular Code Generation from Hybrid Automata based on Data Dependency
Model-based automatic code generation is a process of converting abstract models into concrete implementations in the form of a program written in a high-level programming languag...
Jesung Kim, Insup Lee
IJCAI
2003
15 years 3 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
133
Voted
AAAI
2010
15 years 4 months ago
Recognizing Multi-Agent Activities from GPS Data
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
Adam Sadilek, Henry A. Kautz
250
Voted
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 3 months ago
SPOT: A System for Detecting Projected Outliers From High-dimensional Data Streams
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
Ji Zhang, Qigang Gao, Hai H. Wang
SAFECOMP
2007
Springer
15 years 8 months ago
Controller Architecture for Safe Cognitive Technical Systems
Abstract. Cognition of technical systems, as the ability to perceive situations, to learn about favorable behavior, and to autonomously generate decisions, adds new attributes to s...
Sebastian Kain, Hao Ding, Frank Schiller, Olaf Stu...