DE eng

Search in the Catalogues and Directories

Page: 1 2
Hits 1 – 20 of 35

1
Learning On-Line from a Few Examples
In: DTIC (2009)
BASE
Show details
2
Integrating Language and Cognition in Grounded Adaptive Agents
In: DTIC (2008)
BASE
Show details
3
Research Into the Use of Speech Recognition Enhanced Microworlds in an Authorable Language Tutor
In: DTIC AND NTIS (1999)
BASE
Show details
4
A Gentle Introduction to Soar, an Architecture for Human Cognition.
In: DTIC AND NTIS (1996)
BASE
Show details
5
A Self-Organizing Neural Network Architecture for Auditory and Speech Perception with Applications to Acoustic and other Temporal Prediction Problems.
In: DTIC AND NTIS (1995)
BASE
Show details
6
Approaches to Machine Learning.
In: DTIC AND NTIS (1984)
BASE
Show details
7
Automatic Extension of an Augmented Transition Network Grammar for Morse Code Conversations
In: DTIC AND NTIS (1980)
BASE
Show details
8
Progress in Artifical Intelligence 1978. Volume 1.
In: DTIC AND NTIS (1979)
BASE
Show details
9
Knowledge Acquisition from Structural Descriptions
In: DTIC AND NTIS (1976)
BASE
Show details
10
New Progress in Artificial Intelligence.
In: DTIC AND NTIS (1974)
BASE
Show details
11
On Syntactic Pattern Recognition and Stochastic Languages.
In: DTIC AND NTIS (1971)
BASE
Show details
12
Problem Solving Programs for Mechanized Decision-Making Systems.
In: DTIC AND NTIS (1971)
BASE
Show details
13
Generative, Descriptive, Heuristic, and Formal Modeling in Pattern Analysis and Classification.
In: DTIC AND NTIS (1971)
BASE
Show details
14
Performance of an Audio Perceptron.
In: DTIC AND NTIS (1971)
Abstract: Perceptrons are a class of simple adaptive pattern-recognition devices built of crude model neurons. In the work a perceptron is used to recognize patterns generated by an audio preprocessor. The preprocessor is modeled on the cochlea and cochlear ganglion of the cat with the assumption that these systems are similar to those in humans. Nonsense syllables are used as input to the preprocessor and the perceptron is taught to dichotomize the syllables through a negative-reinforcement training procedure. The preceptron is tested for its ability to learn various dichotomies as a function of the complexity of the dichotomy and as a function of the number of different voices used. It is further tested for its ability to generalize from one set of speakers to another. (Author)
Keyword: (*PATTERN RECOGNITION; (*SPEECH RECOGNITION; *PERCEPTRONS; ADAPTIVE SYSTEMS; Bionics; BIONICS); BRAIN; CATS; LEARNING CURVES; LEARNING MACHINES; NERVE CELLS); THESES
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0740125
http://www.dtic.mil/docs/citations/AD0740125
BASE
Hide details
15
Adaptive Memory for Learning Systems.
In: DTIC AND NTIS (1971)
BASE
Show details
16
Project Technical Report
In: DTIC AND NTIS (1971)
BASE
Show details
17
Accomplishment Summary 1970-1971.
In: DTIC AND NTIS (1971)
BASE
Show details
18
Relational Data System Study.
In: DTIC AND NTIS (1970)
BASE
Show details
19
Accomplishment Summary 1969/1970.
In: DTIC AND NTIS (1970)
BASE
Show details
20
Stochastic Automata, Stochastic Languages, and Pattern Recognition
In: DTIC AND NTIS (1970)
BASE
Show details

Page: 1 2

Catalogues
0
0
0
0
0
0
0
Bibliographies
0
0
0
0
0
0
0
0
0
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
35
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern