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ECML
2003
Springer
14 years 1 months ago
Optimizing Local Probability Models for Statistical Parsing
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems ā€...
Kristina Toutanova, Mark Mitchell, Christopher D. ...
DEBU
2006
163views more  DEBU 2006»
13 years 8 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
WSC
1997
13 years 10 months ago
Seven Habits of Highly Successful Input Modelers
Discrete-event simulation models typically have stochastic components that mimic the probabilistic nature of the system under consideration. Successful input modeling requires a c...
Lawrence Leemis
WSC
2004
13 years 10 months ago
Statistical Analyses for Simulating Schedule Networks
This paper introduces the Stochastic Project Scheduling Simulation (SPSS) system and two additional useful statistical analysis tools. SPSS integrates CPM, PERT, and Discrete Even...
Dong-Eun Lee, Jonathan Jingsheng Shi
ICFEM
2004
Springer
14 years 2 months ago
Linear Inequality LTL (iLTL): A Model Checker for Discrete Time Markov Chains
Abstract. We develop a way of analyzing the behavior of systems modeled using Discrete Time Markov Chains (DTMC). Speciļ¬cally, we deļ¬ne iLTL, an LTL with linear inequalities on...
YoungMin Kwon, Gul Agha