Probabilistic graphical models
3 views | +0 today
Follow
Probabilistic graphical models
PGM, Bayesian networks, ...
Curated by Philippe Leray
Your new post is loading...
Your new post is loading...
Rescooped by Philippe Leray from Probabilistic graphical models
Scoop.it!

An intelligent synthetic character for smartphone with Bayesian networks and behavior selection networks

An intelligent synthetic character for smartphone with Bayesian networks and behavior selection networks | Probabilistic graphical models | Scoop.it

Recent paper by Jong-Won Yoon and Sung-Bae Cho in Expert Systems with Applications:

 

"This paper proposes a method for generating behaviors of a smart synthetic character that infers user contexts with Bayesian networks. In order to generate more realistic behaviors, the OCC model is utilized to create the character’s emotion. Behaviors are produced through large-scale modular behavior networks with inferred contexts."


Via Zoraida Callejas, Philippe Leray
more...
No comment yet.
Rescooped by Philippe Leray from Social Foraging
Scoop.it!

Eclipse Code Recommenders Proposes Code Based On Bayesian Networks

The idea of the code recommenders is to adjust and filter the set of proposals given when the code proposal key sequence is triggered. By default, Eclipse will show the list of public methods (or fields) in alphabetical order. However, when coding against unfamiliar APIs, or ones with many overloaded methods (Quick! Which of the 6 Date constructors is the right1 one to use?), it is not always clear which one should be called.

 

The code recommenders tool has a database of prior code samples, along with frequencies of the method callers, and uses that to prioritise which method or constructor to prompt for. If most Date constructors use either the zero argument (or single long argument), then these two choices will be presented first, with other ones filtered out. In addition, the proposal can use context sensitive information, so if completing a method call of timezoneOffset = date.get it will prompt the getTimezoneOffset() method as the first selection.

The recommenders project also provides a list of context-sensitive snippets of code. These can be constructed manually, or inferred from existing code samples. As with other Java templates (such as main or syserr), these can be used to quickly implement code.


Via Ashish Umre
more...
No comment yet.
Rescooped by Philippe Leray from [Affective] Dialog systems research
Scoop.it!

An intelligent synthetic character for smartphone with Bayesian networks and behavior selection networks

An intelligent synthetic character for smartphone with Bayesian networks and behavior selection networks | Probabilistic graphical models | Scoop.it

Recent paper by Jong-Won Yoon and Sung-Bae Cho in Expert Systems with Applications:

 

"This paper proposes a method for generating behaviors of a smart synthetic character that infers user contexts with Bayesian networks. In order to generate more realistic behaviors, the OCC model is utilized to create the character’s emotion. Behaviors are produced through large-scale modular behavior networks with inferred contexts."


Via Zoraida Callejas
more...
No comment yet.