# Richard B. Segal

> Ph.D. University of Washington 1997

**Wikidata**: [Q102251085](https://www.wikidata.org/wiki/Q102251085)  
**Source**: https://4ort.xyz/entity/richard-b-segal

## Summary
Richard B. Segal is a computer scientist and researcher known for his contributions to the fields of machine learning and computer engineering. He is most notable for his 1997 doctoral research at the University of Washington, which framed machine learning processes as massive search operations.

## Biography
- **Education**: Ph.D. in Computer Science and Computer Engineering, University of Washington (1997)
- **Known for**: Research on machine learning as a search-based process
- **Field(s)**: Computer science, machine learning, computer engineering

## Contributions
Richard B. Segal’s primary contribution to the field of computer science is his research into the intersection of machine learning and search algorithms. In 1997, he completed his doctoral thesis titled "Machine Learning as Massive Search" at the University of Washington. This work was conducted under the supervision of Oren Etzioni, a prominent artificial intelligence researcher and businessman. Segal’s research explored the conceptual and practical framework of treating learning tasks as large-scale search problems, an approach that informs how algorithms navigate complex data spaces to identify optimal models. 

His academic work is part of the formal record of computer science history, as evidenced by his inclusion in the Mathematics Genealogy Project (ID 71871). This database tracks the intellectual lineage of scholars, linking Segal to a broader network of computational researchers. Additionally, his academic profile is maintained within the WikiProject PCC Wikidata Pilot for the University of Washington, highlighting his status as a recognized doctoral alumnus of the institution. His work is situated within the industrial and service sectors of computer science, focusing on the study and practice of advanced computational theories.

## FAQs
### Q: What is Richard B. Segal's primary area of expertise?
A: Richard B. Segal is a computer scientist specializing in machine learning and computer engineering. He is particularly recognized for his research framing machine learning tasks as massive search problems.

### Q: Where did Richard B. Segal receive his doctorate?
A: He earned his Ph.D. from the University of Washington in 1997. His studies focused on the dual disciplines of computer science and computer engineering.

### Q: Who was Richard B. Segal’s doctoral advisor?
A: His doctoral advisor was Oren Etzioni, a well-known American businessman and artificial intelligence researcher.

## Why They Matter
Richard B. Segal’s work is significant for its contribution to the foundational understanding of machine learning during a pivotal era of its development. By defining machine learning as a "massive search" in his 1997 thesis, Segal helped formalize a paradigm where the acquisition of knowledge by a computer is viewed as an optimization task across vast hypothesis spaces. This perspective is a cornerstone of many modern AI optimization techniques. 

His academic lineage, particularly his mentorship under Oren Etzioni, connects him to a significant branch of artificial intelligence research that bridges the gap between academic theory and industrial application. As a graduate of the University of Washington, a leading center for computer science, Segal’s research forms part of the historical framework that enabled the transition of machine learning from theoretical exploration to scalable systems used in the service and industrial sectors. His presence in the Mathematics Genealogy Project ensures that his specific contributions to the evolution of search-based learning remain a permanent part of the academic record for future researchers in the field.

## Notable For
*   **Doctoral Thesis**: Author of "Machine Learning as Massive Search" (1997), which explored the relationship between learning algorithms and search methodologies.
*   **Academic Lineage**: Advised by Oren Etzioni, a leading figure in artificial intelligence and the former CEO of the Allen Institute for AI.
*   **Institutional Affiliation**: Ph.D. recipient from the University of Washington’s computer science and computer engineering program.
*   **Formal Recognition**: Indexed in the Mathematics Genealogy Project with the unique identifier 71871.

## Body
### Academic Background
Richard B. Segal is a computer scientist who completed his advanced academic training at the University of Washington. In 1997, he was awarded a doctorate for his work in the fields of computer science and computer engineering. His academic identity is often associated with the alias Richard Segal.

### Research and Thesis
The core of Segal’s academic output is his doctoral thesis, "Machine Learning as Massive Search." This research was supervised by Oren Etzioni. The work focuses on the application of search-based frameworks to machine learning, suggesting that the process of a machine "learning" from data can be effectively modeled as a search through a space of potential solutions or hypotheses.

### Professional Classification and Records
Segal is classified under the occupation of computer scientist, a role that involves the study and practice of computer science within both the industrial and service sectors. His contributions and academic history are documented in several professional databases:
*   **Mathematics Genealogy Project**: He is listed under ID 71871, which records his doctoral degree and advisor.
*   **WikiProject PCC Wikidata Pilot**: He is included in the University of Washington focus list, which tracks notable individuals associated with the university's academic history.

## References

1. Mathematics Genealogy Project
2. WorldCat