Sciweavers

21490 search results - page 475 / 4298
» Business Process Modeling
Sort
View
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
15 years 11 months ago
Bayesian reinforcement learning in continuous POMDPs with gaussian processes
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
Patrick Dallaire, Camille Besse, Stéphane R...
WSC
2004
15 years 5 months ago
An Experimental Study on Forecasting Using TES Processes
Forecasting is of prime importance for accuracy in decision making. For data sets containing high autocorrelations, failure to account for temporal dependence will result in poor ...
Abdullah S. Karaman, Tayfur Altiok
JIB
2007
121views more  JIB 2007»
15 years 4 months ago
Deriving biological applications from domain specific process models
In this paper we present how the process modeling and execution tools iPM and iPE can be used to model and execute biological processes. The main focus of this paper is on the fle...
Stefan Jablonski, Matthias Färber, Bernhard V...
ACL
2010
15 years 2 months ago
Cognitively Plausible Models of Human Language Processing
We pose the development of cognitively plausible models of human language processing as a challenge for computational linguistics. Existing models can only deal with isolated phen...
Frank Keller
ARTMED
2006
108views more  ARTMED 2006»
15 years 4 months ago
Constructing explanatory process models from biological data and knowledge
We address the task of inducing explanatory models from observations and knowledge about candidate biological processes, using the illustrative problem of modeling photosynthesis ...
Pat Langley, Oren Shiran, Jeff Shrager, Ljupco Tod...