Search Results for "example" - Page 13

...For example, in machine with 64GB, CRF# encodes model with more than 4.5 hundred million features quickly.

This is a small framework for Q(0) with a feedforward-neural net. The example application is a agent in 2D, which learns to balance a pole.

This API is intended to help developers use genetic algorithms in their own java applications. GeneticLibrary.zip contains the netbeans project of the API itself. GeneticTrial.zip contains another netbeans project which is an example explaining how to use the API. docs.zip is the documentation of the API. Please take a look there, it is really helpful. I have only two request from who will use this API; USE, UPDATE AND MODIFY IT FREELY JUST NOTE THE ORIGINAL AUTHOR

Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.

Interface and example projects for CLIPS on NT using the CLIPS DLL. Includes Web/CGI interface.

Example of using Neural networks to implement chase between mouses and cats. Mouses search for cheese on map, while cats are chasing mouses. Goal of the project is to see will both sides learn some new behavior over time using genetic algorithms.

PDDL4J is an open source library to facilitate java implementation of planners based on the PDDL (Planning Description Language). The library contains a parser on the last version of PDDL 3.0 and an example of graphplan implementation.

Inexact is a library developed in Java 5.0 to implements three methods of information fuzzy retrieval: Fuzzy query, Query by example and the two previous methods together. This project uses the fuzzy logic paradigm (Artificial Intelligence).

Device independend source code of Fuzzy logic expert system. Reads FCL (fuzzy control language). Sourcecode in C++. Example program is tested with Linux, should also work with Windows or other operating systems. Without a graphical user interface.

Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).

D-Cog (Declarative-Cognition) is a Java based framework for training software components (reusable, object-oriented, interface-driven components). Instead of programmed, software components are trained by example to get the expected results.

Lightweight backpropagation neural network in C. Intended for programs that need a simple neural network and do not want needlessly complex neural network libraries. Includes example application that trains a network to recognize handwritten digits.

An agent that tries to learn your taste in music based on an example database, using different AI-learning-approaches.

This library implements self-organizing neural networks, also called Kohonen Nets. They can be used for high dimensional data analysis. Example: content based image recognition ( CBIR ).

TGPopulation is a genetic programming library for Borland Delphi, C++ Builder, Kylix and Free Pascal. Symbolic Regression and GP Robots are two example applications for it.

Set of Java packages to apply Genetic Algorithms to any kind of problem. Various genetic operators are implemented and an example shows of how the system could be applied to digital circuit evolution.

This project aims to produce a structure for the design and implementation of an Artificial Intelligence system based on the idea of determinism. This is to be completed with the creation of an AI system, a testing interface, and example applications.

Example-based Development of Grammars (EDG) is a system implemented in Lisp for building natural language grammars and lexicons incrementally and interactively.

Neural network based pattern recognition software. Aim is to provide a program what is able to find pictures by a text line input. For example -> find all pictures with a red car?

...It focuses on how an agent can learn trading-like behavior through rewards, states, and actions. The repository is useful for learners who want to connect reinforcement learning concepts with a familiar financial market example. Its main value is demonstrating the structure of a deep reinforcement learning trading experiment while making clear that real-world investing requires much more validation and risk control.

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.

wav2vec2-large-xlsr-53-portuguese is an automatic speech recognition (ASR) model fine-tuned on Portuguese using the Common Voice 6.1 dataset. It is based on Facebook’s wav2vec2-large-xlsr-53, a multilingual self-supervised learning model, and is optimized to transcribe Portuguese speech sampled at 16kHz. The model performs well without a language model, though adding one can improve word error rate (WER) and character error rate (CER). It achieves a WER of 11.3% (or 9.01% with LM) on Common...

VaultGemma is a sub-1B parameter variant of Google’s Gemma family that is pre-trained from scratch with Differential Privacy (DP), providing mathematically backed guarantees that its outputs do not reveal information about any single training example. Using DP-SGD with a privacy budget across a large English-language corpus (web documents, code, mathematics), it prioritizes privacy over raw utility. The model follows a Gemma-2–style architecture, outputs text from up to 1,024 input tokens, and is intended to be instruction-tuned for downstream language understanding and generation tasks. ...