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UAI
2004
15 years 9 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
IJCAI
1993
15 years 9 months ago
Learning Decision Lists over Tree Patterns and Its Application
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
Satoshi Kobayashi, Koichi Hori, Setsuo Ohsuga
CCR
2006
89views more  CCR 2006»
15 years 7 months ago
A passive state-machine approach for accurate analysis of TCP out-of-sequence segments
In this paper we describe a new tool being made available to the networking research community for passive analysis of TCP segment traces. The purpose of the tool is to provide mo...
Sushant Rewaskar, Jasleen Kaur, F. Donelson Smith
DEBU
2006
121views more  DEBU 2006»
15 years 7 months ago
Probabilistic Data Management for Pervasive Computing: The Data Furnace Project
The wide deployment of wireless sensor and RFID (Radio Frequency IDentification) devices is one of the key enablers for next-generation pervasive computing applications, including...
Minos N. Garofalakis, Kurt P. Brown, Michael J. Fr...
IJAR
2008
155views more  IJAR 2008»
15 years 7 months ago
Estimation of causal effects using linear non-Gaussian causal models with hidden variables
The task of estimating causal effects from non-experimental data is notoriously difficult and unreliable. Nevertheless, precisely such estimates are commonly required in many fiel...
Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen...