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IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.

IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.

IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.

IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.

IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.

IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.

IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.

IntelligenceLab is a set of .NET 2.0(or higher) components, based on OpenWire technology for Artificial Intelligence. Allows implementing data classification, SPAM filters, computer vision, speech recognition, OCR and decision making applications with minimal effort. The library is fully multithreaded, utilizes well modern multi-core systems, and runs at full native performance. Also includes a Visual Graphical Editor for Codeless Development. Contains: Neural Network - Feed forward Neural Network classifier. Naive Bayes - Naive Bayes classifier. K Nearest Neighbor - K Nearest Neighbor classifier. Self Organizing Map - Self Organizing Map classifier. Radial Basis Function - Radial Basis Function Network classifier. Back propagation - Back propagation Neural Network trainer. RProp - Resilient back propagation Neural Network trainer. Neuron - General purpose neuron component. Data preparation components - Prepare the training, features and classes data. Typical applications: SPAM filters. OCR applications. Computer Vision. Speech recognition. Data classification. Decision making.

MailBee.NET AntiSpam - Detect spam e-mails with a self-learning Bayesian filter. MailBee.NET AntiSpam component - filter spam emails and train Bayesian filter in C#, .NET, VB.NET: MailBee.NET AntiSpam is an easy-to-use .NET component that allows applications to detect spam messages with self-learning and very efficient Bayesian filter

MailBee.NET AntiSpam - Detect spam e-mails with a self-learning Bayesian filter. MailBee.NET AntiSpam component - filter spam emails and train Bayesian filter in C#, .NET, VB.NET: MailBee.NET AntiSpam is an easy-to-use .NET component that allows applications to detect spam messages with self-learning and very efficient Bayesian filter

MailBee.NET AntiSpam - Detect spam e-mails with a self-learning Bayesian filter. MailBee.NET AntiSpam component - filter spam emails and train Bayesian filter in C#, .NET, VB.NET: MailBee.NET AntiSpam is an easy-to-use .NET component that allows applications to detect spam messages with self-learning and very efficient Bayesian filter

PLUS500 is a Checkers game for Windows. It uses the Standard Laws of International Checkers(10x10). Plus500 is a self-teaching checkersplayer. That is, the more you play against Plus500, the more difficult it becomes to beat. Options: - "ponder" mode; - any starting position on the board; - position analysis; - save/load position/game; - function "undo/repaeat moves"; - function "best next"; - function "rotate board"; - recording game protocol; - different play opponent: computer, another player or PLUS500 play herself;- - import/export Database file.

PLUS500 is a Checkers game for Windows. It uses the Standard Laws of International Checkers(10x10). Plus500 is a self-teaching checkersplayer. That is, the more you play against Plus500, the more difficult it becomes to beat. Options: - "ponder" mode; - any starting position on the board; - position analysis; - save/load position/game; - function "undo/repaeat moves"; - function "best next"; - function "rotate board"; - recording game protocol; - different play opponent: computer, another player or PLUS500 play herself;- - import/export Database file.

PLUS500 is a Checkers game for Windows. It uses the Standard Laws of International Checkers(10x10). Plus500 is a self-teaching checkersplayer. That is, the more you play against Plus500, the more difficult it becomes to beat. Options: - "ponder" mode; - any starting position on the board; - position analysis; - save/load position/game; - function "undo/repaeat moves"; - function "best next"; - function "rotate board"; - recording game protocol; - different play opponent: computer, another player or PLUS500 play herself;- - import/export Database file.

PLUS500 is a Checkers game for Windows. It uses the Standard Laws of International Checkers(10x10). Plus500 is a self-teaching checkersplayer. That is, the more you play against Plus500, the more difficult it becomes to beat. Options: - "ponder" mode; - any starting position on the board; - position analysis; - save/load position/game; - function "undo/repaeat moves"; - function "best next"; - function "rotate board"; - recording game protocol; - different play opponent: computer, another player or PLUS500 play herself;- - import/export Database file.