Company Filing History:
Years Active: 1986
Title: Thomas B. Slack: Innovator in Probabilistic Learning Elements
Introduction
Thomas B. Slack is a notable inventor based in Oxford, CT (US). He has made significant contributions to the field of pattern recognition through his innovative patents. With a total of 3 patents, Slack's work focuses on developing advanced probabilistic learning elements that enhance sequential pattern recognition.
Latest Patents
One of his latest patents is titled "Probabilistic Learning Element." This invention provides a task-independent solution for sequential pattern recognition. The element processes sequences of objects and outputs recognized states composed of these objects. It utilizes multiple memory elements to store received objects in sequence and to retain learned information, including previously recognized states and their associated objects. The element correlates these sequences with learned information to provide conditional probabilities for potential recognized states. When a state is detected as having ended, the most likely sequence is outputted as a recognized state.
Another significant patent is "Probabilistic Learning Element Employing Context Driven Searching." This invention also focuses on task-independent sequential pattern recognition but incorporates context-driven searching. The element receives sequences of objects and outputs recognized states, utilizing both short-term and long-term memory to store information in sequential context. By correlating short-term memory with long-term memory, the element assigns probabilities to possible next states in the sequence. When the accumulated confidence rating exceeds a predetermined threshold, the recognized state sequence is stored as a learned state sequence.
Career Highlights
Thomas B. Slack is currently employed at Itt Corporation, where he continues to innovate in the field of pattern recognition. His work has significantly advanced the understanding and application of probabilistic learning elements.
Collaborations
Some of his notable coworkers include Jeffrey N. Denenberg and Chuan-Chieh Tan, who contribute to the collaborative environment at Itt Corporation.
Conclusion
Thomas B. Slack's contributions to the field of probabilistic learning elements have paved the way for advancements in sequential pattern recognition. His innovative patents reflect a deep understanding of memory systems and their application in technology.