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» Recursive Algorithms of Time Series Observations Recognition
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CORR
2008
Springer
107views Education» more  CORR 2008»
14 years 9 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
ATAL
2007
Springer
15 years 3 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...
AAAI
2000
14 years 11 months ago
Graph Construction and Analysis as a Paradigm for Plan Recognition
We present a novel approach to plan recognition in which graph construction and analysis is used as a paradigm. We use a graph structure called a Goal Graph for the plan recogniti...
Jun Hong
SIGECOM
2011
ACM
320views ECommerce» more  SIGECOM 2011»
14 years 12 days ago
Market making and mean reversion
Market making refers broadly to trading strategies that seek to profit by providing liquidity to other traders, while avoiding accumulating a large net position in a stock. In th...
Tanmoy Chakraborty, Michael Kearns
ICDM
2010
IEEE
276views Data Mining» more  ICDM 2010»
14 years 7 months ago
Accelerating Dynamic Time Warping Subsequence Search with GPUs and FPGAs
Many time series data mining problems require subsequence similarity search as a subroutine. While this can be performed with any distance measure, and dozens of distance measures ...
Doruk Sart, Abdullah Mueen, Walid A. Najjar, Eamon...