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Samuel E. Moelius

dblp:89/3947 · also Samuel E. Moelius III · DBLP profile ↗
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19ranked-venue papers
3as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 12 · 1 first-authorArtificial intelligence and machine learning · 7 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Learning theory · 50% Deep learning architectures and training · 50%
Theoretical computer science
1 paper
Automata and formal languages · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Automata and formal languages
language learning
0.112011
Optimal language learning from positive data · Inf. Comput. 2011
Machine learning › Learning theory
inductive inference
0.112007
U-Shaped, Iterative, and Iterative-with-Counter Learning · COLT 2007
Machine learning › Deep learning architectures and training
iterative learning
0.112007
U-Shaped, Iterative, and Iterative-with-Counter Learning · COLT 2007

Methods — techniques the papers use, named apart from their topics

computability theory · 0.1
YearPublicationVenuePosition
2013 Learning without coding
Sanjay Jain 0001, Samuel E. Moelius, Sandra Zilles
Theor. Comput. Sci.2
2012 Characteristics of Minimal Effective Programming Systems
Samuel E. Moelius
CiE1
2012 Program Self-Reference in Constructive Scott Subdomains
John Case, Samuel E. Moelius
Theory Comput. Syst.2
2011 Erratum: Learning without Coding
Samuel E. Moelius, Sandra Zilles
ALT1
2011 Properties Complementary to Program Self-Reference
abstract
In computability theory, program self-reference is formalized by the not-necessarily-constructive form of Kleene's Recursion Theorem (krt). In a programming system in which krt holds, for any preassigned, algorithmic task, there exists a program that, in a sense, creates a copy of itself, and then performs that task using the self-copy. Interpreted in this way, such self-copying programs have usable self-knowledge. Herein, properties complementary to krt are considered. Of particular interest are those properties involving the implementation of control structures. One main result is that no property involving the implementation of denotational control structures is complementary to krt. This is in contrast to a result of Royer, which showed that implementation of if-then-else — a denotational control structure — is complementary to the constructive form of Kleene's Recursion Theorem. Examples of non-denotational control structures whose implementation is complementary to krt are then given. Some such control structures so nearly resemble denotational control structures that they might be called quasi-denotational.
John Case, Samuel E. Moelius
Fundam. Informaticae2
2011 Optimal language learning from positive data
John Case, Samuel E. Moelius
Inf. Comput.2
2010 Learning without Coding
Samuel E. Moelius, Sandra Zilles
ALT1
2010 Incremental learning with temporary memory
Sanjay Jain 0001, Steffen Lange, Samuel E. Moelius, Sandra Zilles
Theor. Comput. Sci.3
2009 Program Self-reference in Constructive Scott Subdomains
John Case, Samuel E. Moelius
CiE2
2009 Independence Results for n-Ary Recursion Theorems
John Case, Samuel E. Moelius
FCT2
2009 Characterizing Programming Systems Allowing Program Self-Reference
John Case, Samuel E. Moelius
Theory Comput. Syst.2
2009 Parallelism increases iterative learning power
John Case, Samuel E. Moelius
Theor. Comput. Sci.2
2008 Optimal Language Learning
John Case, Samuel E. Moelius
ALT2
2008 Learning with Temporary Memory
Steffen Lange, Samuel E. Moelius, Sandra Zilles
ALT2
2008 U-shaped, iterative, and iterative-with-counter learning
John Case, Samuel E. Moelius
Mach. Learn.2
2007 Parallelism Increases Iterative Learning Power
John Case, Samuel E. Moelius
ALT2
2007 Characterizing Programming Systems Allowing Program Self-reference
John Case, Samuel E. Moelius
CiE2
2007 U-Shaped, Iterative, and Iterative-with-Counter Learning
John Case, Samuel E. Moelius
COLT2
2007 Properties Complementary to Program Self-reference
John Case, Samuel E. Moelius
MFCS2