Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 237,281,837 papers from all fields of science
Search
Sign In
Create Free Account
Loss function
Known as:
Zero-one loss
, Loss
, Risk function
Expand
In mathematical optimization, statistics, decision theory and machine learning, a loss function or cost function is a function that maps an event or…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
50 relations
Adaptive filter
Backpropagation
Bootstrapping (statistics)
Constrained optimization
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Fuzzy Clustering with a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images
Asari
,
Ubbarao
2015
Corpus ID: 18598915
In this paper, we put forward a novel approach for change detection in synthetic aperture radar (SAR) images. The approach…
Expand
2012
2012
A robust segmentation approach for noisy medical images using fuzzy clustering with spatial probability
Zulaikha Beevi
,
M. Sathik
˜The œinternational Arab journal of information…
2012
Corpus ID: 15078326
Image segmentation plays a major role in medical imaging applications. During last decades, developing robust and efficient…
Expand
2009
2009
Research on Web Session Clustering
Chaofeng Li
Journal of Software
2009
Corpus ID: 46702063
The task of clustering web sessions is to group web sessions based on similarity and consists of maximizing the intra-group…
Expand
2006
2006
Tone Mapping for HDR Image using Optimization A New Closed Form Solution
G. Qiu
,
Jian Guan
,
Jiang Duan
,
Min Chen
International Conference on Pattern Recognition
2006
Corpus ID: 4609229
This paper studies an optimization approach for designing tone reproduction curve (TRC) based tone mapping operators for the…
Expand
2006
2006
An Access Network Selection Algorithm Dynamically Adapted to User Needs and Preferences
A. Iera
,
A. Molinaro
,
C. Campolo
,
M. Amadeo
IEEE International Symposium on Personal, Indoor…
2006
Corpus ID: 5126637
In this paper we present a novel multi-criteria network selection algorithm for always best connected service provisioning. It…
Expand
2001
2001
An Airborne Conflict Resolution Approach Using a Genetic Algorithm
Mondoloni Stephane
,
Conway Sheila
2001
Corpus ID: 267882425
An airborne conflict resolution approach is presented that is capable of providing flight plans forecast to be conflict-free with…
Expand
Highly Cited
1998
Highly Cited
1998
A globally convergent approach for blind MIMO adaptive deconvolution
A. Touzni
,
I. Fijalkow
,
M. Larimore
,
J. Treichler
Proceedings of the IEEE International Conference…
1998
Corpus ID: 17838145
We address the deconvolution of MIMO linear mixtures. The approach is based on the construction of a hierarchical family of…
Expand
1991
1991
Fast hashing on a PRAM—designing by expectation
Joseph Gil
,
Yossi Matias
ACM-SIAM Symposium on Discrete Algorithms
1991
Corpus ID: 14897964
A hash table is a data structure for representing a set of n items that uses linear space and supports membership queries in O(1…
Expand
Highly Cited
1988
Highly Cited
1988
CONTEST: a concurrent test generator for sequential circuits
V. Agrawal
,
K. Cheng
,
P. Agrawal
25th ACM/IEEE, Design Automation Conference…
1988
Corpus ID: 6645024
The application of a concurrent fault simulator to automatic test vector generation is described. As faults are simulated in the…
Expand
Highly Cited
1981
Highly Cited
1981
Obtaining Nondominated Priority Vectors for Multiple Objective Decisionmaking Problems with Different Combinations of Cardinal and Ordinal Information
E. Hannan
IEEE Transactions on Systems, Man and Cybernetics
1981
Corpus ID: 6974909
Three versions of the multiple attribute (objective) decisionmaking problem with additive utilities are considered. The versions…
Expand