"Without question, the greatest invention in the history of mankind is beer. Oh, I grant you that the wheel was also a fine invention, but the wheel does not go nearly as well with pizza."
Dave Barry
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| Number | Title | Issue Date |
| 5619709 | System and method of context vector generation and retrieval A system and method for generating context vectors for use in storage and retrieval of documents and other information items. Context vectors represent conceptual relationships among information items by quantitative means. A neural network operates on a ... | 04/08/1997 |
| 5471627 | Systolic array image processing system and method A systolic array of processing elements is connected to receive weight inputs and multiplexed data inputs for operation in two dimension convolution mode, or fully-connected neural network mode, or in cooperative, competitive neural network mode. Feature ... | 11/28/1995 |
| 5398300 | Neural network having expert system functionality A method for performing a variety of expert system functions on any continuous-state feedforward neural network. These functions include decision-making, explanation, computation of confidence measures, and intelligent direction of information acquisition... | 03/14/1995 |
| 5361201 | Real estate appraisal using predictive modeling An automated real estate appraisal system (100) and method generates estimates of real estate value using a predictive model such as a neural network (908). The predictive model (908) generates these estimates based on learned relationships among variable... | 11/01/1994 |
| 5325298 | Methods for generating or revising context vectors for a plurality of word stems A method for generating context vectors for use in a document storage and retrieval system. A context vector is a fixed length list of component values generated to approximate conceptual relationships. A context vector is generated for each word stem. Th... | 06/28/1994 |
| 5138695 | Systolic array image processing system A systolic array of processing elements is connected to receive weight inputs and multiplexed data inputs for operation in feedforward, partially-- or fully-connected neural network mode or in cooperative, competitive neural network mode. Feature vector o... | 08/11/1992 |