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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.
Highly Cited
2013
Highly Cited
2013
Predicting length of stay at WiFi hotspots
Justin Manweiler
,
N. Santhapuri
,
Romit Roy Choudhury
,
Srihari Nelakuditi
Proceedings IEEE INFOCOM
2013
Corpus ID: 12086326
Today's smartphones provide a variety of sensors, enabling high-resolution measurements of user behavior. We envision that many…
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2012
2012
A Grassmann manifold-based domain adaptation approach
Jingjing Zheng
,
Ming-Yu Liu
,
R. Chellappa
,
P. Phillips
International Conference on Pattern Recognition
2012
Corpus ID: 5801986
Domain adaptation algorithms that handle shifts in the distribution between training and testing data are receiving much…
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2010
2010
Why finding entities in Wikipedia is difficult, sometimes
Gianluca Demartini
,
C. S. Firan
,
Tereza Iofciu
,
Ralf Krestel
,
W. Nejdl
Information retrieval (Boston)
2010
Corpus ID: 9378264
Entity Retrieval (ER)—in comparison to classical search—aims at finding individual entities instead of relevant documents…
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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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2007
2007
Estimation of position and orientation of mobile systems in a wireless LAN
Christof Röhrig
,
Frank Künemund
IEEE Conference on Decision and Control
2007
Corpus ID: 1128837
In this paper, a method to estimate position and orientation of a mobile system in an indoor scenario is described. The proposed…
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Highly Cited
2005
Highly Cited
2005
Semi-automatic video annotation based on active learning with multiple complementary predictors
Yan Song
,
Xiansheng 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
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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1997
1997
Statistical Learning Algorithms Based on Bregman Distances
J. Lafferty
,
S. D. Pietra
,
V. D. 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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