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KDD
2002
ACM
109views Data Mining» more  KDD 2002»
16 years 7 months ago
Topics in 0--1 data
Large 0-1 datasets arise in various applications, such as market basket analysis and information retrieval. We concentrate on the study of topic models, aiming at results which in...
Ella Bingham, Heikki Mannila, Jouni K. Seppän...
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 7 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
ROBIO
2006
IEEE
125views Robotics» more  ROBIO 2006»
16 years 18 days ago
Multi-target Detection by Multi-sensor Systems: A Comparison of Systems
– Different methodologies exist to direct the motion of sensors to detect targets moving across an environment in various scenarios. However, some of these do not model that navi...
P. K. Ganesh, K. Madhava Krishna, Paulo Menezes
CIKM
2010
Springer
15 years 5 months ago
A method for discovering components of human rituals from streams of sensor data
This paper describes an algorithm for determining if an event occurs persistently within an interval where the interval is periodic but the event is not. The goal of the algorithm...
Athanasios Bamis, Jia Fang, Andreas Savvides
EMNLP
2010
15 years 4 months ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda