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Machine learning
Known as:
Adaptive machine learning
, Statistical learning
, Learning algorithms
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Machine learning is the subfield of computer science that "gives computers the ability to learn without being explicitly programmed" (Arthur Samuel…
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AI takeover
Anticipation (artificial intelligence)
Basis function
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
Covariant Policy Search
W. Liu
,
Sanjiang Li
,
Jochen Renz
International Joint Conference on Artificial…
2009
Corpus ID: 117131270
Increasing the expressiveness of qualitative spatial calculi is an essential step towards meeting the requirements of…
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2008
2008
Video Annotation Based on Kernel Linear Neighborhood Propagation
Jinhui Tang
,
Xian-Sheng Hua
,
Guo-Jun Qi
,
Yan Song
,
Xiuqing Wu
IEEE transactions on multimedia
2008
Corpus ID: 23780112
The insufficiency of labeled training data for representing the distribution of the entire dataset is a major obstacle in…
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2006
2006
The Space of Cognitive Vision
D. Vernon
Cognitive Vision Systems
2006
Corpus ID: 17190820
Cognitive vision is an area that is not yet well-defined, in the sense that one can unambiguously state what issues fall under…
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Highly Cited
2005
Highly Cited
2005
Semi-automatic video annotation based on active learning with multiple complementary predictors
Yan Song
,
Xian-Sheng Hua
,
Lirong Dai
,
Meng Wang
Multimedia Information Retrieval
2005
Corpus ID: 10311775
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that…
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2004
2004
Extending and Enriching WordNet with OntoLearn
P. Velardi
,
Roberto Navigli
,
A. Cucchiarelli
,
Francesca Neri
2004
Corpus ID: 9861360
OntoLearn is a system for word sense disambiguation, used to automat- ically enrich WordNet with domain concepts and to…
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2004
2004
Availability in Global Peer-To-Peer Storage Systems
T. Schwarz
,
Qin Xin
,
E. L. Miller
2004
Corpus ID: 8814595
Peer-to-peer file sharing applications have become increasingly popular. Measurements of P2P systems indicate large heterogeneity…
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1998
1998
Cognitive Patterns: Problem-Solving Frameworks for Object Technology
Kathryn M. Gardner
,
Alexander M. Rush
,
Michael K. Crist
,
Robert Konitzer
,
B. Teegarden
1998
Corpus ID: 60413617
Part I. Introduction to Cognitive Patterns and KADS Object: 1. Introduction to cognitive patterns 2. Introduction to KADS Object…
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1997
1997
Statistical Learning Algorithms Based on Bregman Distances
J. Lafferty
,
Stephen A. Della Pietra
,
Vincent J. Della Pietra
1997
Corpus ID: 1936665
| We present a class of statistical learning algorithms formulated in terms of minimizing Bregman distances, a family of…
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Highly Cited
1996
Highly Cited
1996
Learning in fuzzy neural networks
T. Feuring
International Conference on Neural Networks
1996
Corpus ID: 16893422
In our fuzzy neural networks, fuzzy weights and fuzzy operations are used for training crisp and fuzzy data. Theoretical studies…
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1991
1991
Notes and references on early automatic classification work
Karen Spärck Jones
SIGF
1991
Corpus ID: 9035985
This informal note was prompted by discussions and questions at the 1990 AAAI Spring Symposium on Text-Based Intelligent Systems…
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