'Explicit model' diaporamas de présentation

Symbolic Dynamic Programming

Symbolic Dynamic Programming. Alan Fern *. * Based in part on slides by Craig Boutilier. Planning in Large State Space MDPs. You have learned algorithms for computing optimal policies Value Iteration Policy Iteration These algorithms explicitly enumerate the state space

500 views • 38 slides

GADA - A Simple Method for Derivation of Dynamic Equation

GADA - A Simple Method for Derivation of Dynamic Equation. Chris J. Cieszewski and Ian Moss. Variables of Interest:. Height (of trees, people, etc.); Volume, Biomass, Carbon, Mass, Weight; Diameter, Basal Area, Investment; Number of Trees/Area, Population Density; other.

378 views • 26 slides

GADA - A Simple Method for Derivation of Dynamic Equation

GADA - A Simple Method for Derivation of Dynamic Equation. Chris J. Cieszewski and Ian Moss. Variables of Interest:. Height (of trees, people, etc.); Volume, Biomass, Carbon, Mass, Weight; Diameter, Basal Area, Investment; Number of Trees/Area, Population Density; other.

268 views • 26 slides

Emergent Functions of Simple Systems

Emergent Functions of Simple Systems. J. L. McClelland Stanford University. Emergent probabilistic optimization in neural networks Relationship between competence/rational approaches and mechanistic (including connectionist) approaches

474 views • 25 slides

Explicit Forecasts of Winter Precipitation using an improved bulk microphysics scheme

376 views • 21 slides

Bayesian and Connectionist Approaches to Learning

Bayesian and Connectionist Approaches to Learning. Tom Griffiths, Jay McClelland Alison Gopnik, Mark Seidenberg. Who Are We and What Do We Study?.

303 views • 19 slides

Emergent Functions of Simple Systems

Emergent Functions of Simple Systems. J. L. McClelland Stanford University. Emergent probabilistic optimization in neural networks Relationship between competence/rational approaches and mechanistic (including connectionist) approaches

192 views • 18 slides

Questions and Topics Review Nov. 22, 2011

Questions and Topics Review Nov. 22, 2011. Assume you have to do feature selection for a classification task. What are the characteristics of features (attributes) you might remove from the dataset prior to learning the classification algorithm ?

164 views • 5 slides

Usability

Usability. Usability is concerned with how easy it is for the user to accomplish a desired task and the kind of user support the system provides. Usability areas: Learning system features Using a system efficiently Minimizing the impact of user errors Adapting the system to user needs

325 views • 5 slides