Search Results for "shader model 2.0)" - Page 4

RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.

MegaHAL is a 'conversation simulator' that learns as you talk to it. MegaHAL differs from conversation simulators such as Eliza in that it uses a Markov Model to learn how to hold a conversation. It is possible to teach MegaHAL to talk about new topic

ASM is the Santa Fe Institute "Artificial Stock Market" simulation model. This page is mainly aimed to the revision/updating of ASM using the Swarm Toolkit, which is provided by Swarm Development Group (http://www.swarm.org).

Establishing a model of the concept of game, in order to offer a framework that might be used to simulate any kind of game. Ultimate goal : awakening AI thanks to games.

UMDS is small, strong and expansible project. The model offers a uniform method of conceptual view of the diverse data as a sequence of bits and a uniform method of keeping and processing this sequence on the external storage.

Fungus is a framework for distributed simulation by multi-agents. It uses a very modular architecture. A GUI is provided. In our model, everything is Agent. Even the environnement. You have an access to the communication's 'canals'.

This project will show how to implement the Hidden Markov Model approximations of Voice Recognition into embedded and low power systems.

This project aims to create a block oriented visual workbench for general purpose systems modelling and simulation. In the first milestone, we`ll build a simple GUI and the basic blocks to model neural network training and internetwork topologies.

Framework for modelling of Natural General Intelligence. This project aims at creation of open source AGI (Artificial General Intelligence) through modelling of natural thinking. See http://roland.pri.ee/bakalaureusetoo/ for theoretical details.

Main task is automating the creation of simulation models of complex model. The originalities of proposed software are explicit representation of conceptual model in the concept – attribute – relation form and applying expert system approach to transform designed ontology into agent model. Researchers develop the structure and behavior of agents using declarative approach. Web: https://84.237.20.67/RFFI/Main.php

Model-based AI planner using binary decision diagrams. PropPlan parses PDDL descriptions of the domain and the problem, and outputs a plan.

Implementation of Generalized Linear Model (GLM) for regression in python. Christopher M. Bishop uses this as an example for various concepts in "Pattern Recognition and Machine Learning".

The synthetic teammate is a cognitive model of a pilot flying a UAV in a team setting. The focus of the project is communicating the right information at the right time, through natural language.

Model that permits to simulate the plant differentiation processes.

This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.

The JAQPOT3 web services are OpenTox API-1.2 compliant web services. JAQPOT3 is a web application that supports model training and data preprocessing algorithms such as MLR, SVM, ANN and more.

NXTAI's main objective is to create a new generation of natural language processing program by using a unique neural networking model. To demonstrate the algorithm works, A chatbot will be developed as a classical example of how it can be used.