Skip to main content
guest
Join
|
Help
|
Sign In
chessprogramming
Home
guest
|
Join
|
Help
|
Sign In
Wiki Home
Recent Changes
Pages and Files
Members
Home
Basics
Getting Started
Board Representation
Search
Evaluation
Principle Topics
Chess
Programming
Artificial Intelligence
Knowledge
Learning
Testing
Tuning
User Interface
Protocols
Dictionary
Lists
Arts
Cartoons
CC Forums
Conferences
Dedicated CC
Engines
Games
Hardware
History
Organizations
Papers
People
Periodical
Samples
Software
Timeline
Tournaments and Matches
Videos
Misc
Acknowledgments
On New Pages
Recommended Reading
Wikispaces Help
Alberto Maria Segre
Edit
0
10
…
3
Tags
mathematician
people
researcher
Notify
RSS
Backlinks
Source
Print
Export (PDF)
Home
*
People
* Alberto Maria Segre
Alberto Maria Segre
,
an American mathematician and computer scientist with a Ph.D. on
Explanation-Based Learning of Generalized Robot Assembly Plans
from
University of Illinois at Urbana-Champaign
in 1987. He is professor and chair at Department of Computer Science
[1]
,
University of Iowa
. His research interests include
distributed algorithms
for solving
optimization problems
,
linkage
analysis problems from
statistical genetics
, and
protein structure prediction
techniques,
machine learning
, and
parallel search
algorithms such as
A*
,
αβ-minimax
,
Davis-Loveland-Putnam
, and applications of these algorithms to both standard
AI
problems and
economic problems
such as
combinatorial auction
winner determination.
Alberto Maria Segre
[2]
Table of Contents
Selected Publications
External Links
References
What links here?
Selected Publications
[3]
Alberto Maria Segre
(
1987
).
On the Operationality/Generality Trade-off in Explanation-based Learning
.
IJCAI 1987
,
pdf
Alberto Maria Segre
(
1987
).
Explanation-Based Learning of Generalized Robot Assembly Plans
. Ph.D. thesis,
University of Illinois at Urbana-Champaign
, Advisor:
Gerald Francis DeJong, II
Alberto Maria Segre
,
Daniel Scharstein
(
1993
).
Bounded-Overhead Caching for Definite-Clause Theorem Proving
.
Journal of Automated Reasoning
, Vol, 11, No. 1,
pdf
David Sturgill
,
Alberto Maria Segre
(
1994
).
A Novel Asynchronous Parallelism Scheme for First-Order Logic
.
CADE'1994
Alberto Maria Segre
,
David Sturgill
(
1994
).
Using Hundreds of Workstations to Solve First-Order Logic Problems
.
AAAI'1994
Alberto Maria Segre
,
Charles Elkan
(
1994
).
A High-Performance Explanation-Based Learning Algorithm
.
Artificial Intelligence
, Vol. 68, Nos. 1-2
David Sturgill
,
Alberto Maria Segre
(
1997
).
Nagging: A Distributed, Adversarial Search-Pruning Technique Applied to First-Order Inference
.
Journal of Automated Reasoning
, Vol. 19, No. 3
[4]
Alberto Maria Segre
,
Sean Forman
,
Giovanni Resta
,
Andrew Wildenberg
(
2002
).
Nagging: A Scalable Fault-Tolerant Paradigm for Distributed Search
.
Artificial Intelligence
140,
pdf
,
pdf
Ronen Feldman
,
Moshe Koppel
,
Alberto Maria Segre
(
2011
).
Bias-Driven Revision of Logical Domain Theories
.
CoRR, 2011
External Links
Alberto Maria Segre | Department of Computer Science
The Mathematics Genealogy Project - Alberto Segre
References
^
Department of Computer Science
^
Alberto Maria Segre | Department of Computer Science
^
DBLP: Alberto Maria Segre
^
Nagging from Wikipedia
What links here?
Page
Date Edited
Alberto Maria Segre
Jun 22, 2015
Charles Elkan
Jan 23, 2017
David Sturgill
May 23, 2016
GPU
Dec 16, 2017
Learning
Feb 20, 2018
Mathematician
Apr 9, 2018
Moshe Koppel
May 23, 2016
Parallel Search
Dec 30, 2017
People
Feb 28, 2018
Srdja Matovic
Apr 14, 2018
University of Illinois at Urbana-Champaign
Oct 12, 2016
Up one level
Javascript Required
You need to enable Javascript in your browser to edit pages.
help on how to format text
Turn off "Getting Started"
Home
...
Loading...
an American mathematician and computer scientist with a Ph.D. on Explanation-Based Learning of Generalized Robot Assembly Plans from University of Illinois at Urbana-Champaign in 1987. He is professor and chair at Department of Computer Science [1] , University of Iowa. His research interests include distributed algorithms for solving optimization problems, linkage analysis problems from statistical genetics, and protein structure prediction techniques, machine learning, and parallel search algorithms such as A*, αβ-minimax, Davis-Loveland-Putnam, and applications of these algorithms to both standard AI problems and economic problems such as combinatorial auction winner determination.
Table of Contents
Selected Publications
[3]External Links
References
What links here?
Up one level