Results 21 to 30 of about 243,440 (132)
Data Mining and Knowledge Discovery Handbook, 2008 Support vector machines (SVMs) are a family of machine learning methods, originally introduced for the problem of classification and later generalized to various other situations.
Ingo Steinwart, A. Christmann
semanticscholar +1 more source
On quasistability of a vector combinatorial problem with \Sigma-MINMAX and \Sigma-MINMIN partial criteria [PDF]
Computer Science Journal of Moldova, 2004 We consider one type of stability (quasistability) of a vector combinatorial problem of finding the Pareto set. Under quasistability we understand a discrete analogue of lower semicontinuity by Hausdorff of the many-valued mapping, which defines the ...
Vladimir A. Emelichev +2 more
doaj
An analytical review of vector- and pathogen-based transmission-blocking vaccine for malaria control
Journal of Vector Borne Diseases, 2022 Malaria is a vector borne disease, considered to be one of the most serious public health problems. The present review focused on the blocking of parasite development in mosquito vectors; one broad strategy for achieving this is Transmission Blocking ...
R. Jakhar, Neelam Sehrawat, S. Gakhar
semanticscholar +1 more source
Selecting training sets for support vector machines: a review
Artificial Intelligence Review, 2019 Support vector machines (SVMs) are a supervised classifier successfully applied in a plethora of real-life applications. However, they suffer from the important shortcomings of their high time and memory training complexities, which depend on the ...
J. Nalepa, M. Kawulok
semanticscholar +1 more source
Hierarchy of integrable geodesic flows [PDF]
, 2000 A family of integrable geodesic flows is obtained.
Topalov, Peter
core +2 more sources
Understanding the fine structure of electricity prices [PDF]
, 2006 This paper analyzes the special features of electricity spot prices derived from the physics of this commodity and from the economics of supply and demand in a market pool.
Geman, Hélyette, Roncoroni, A.
core +2 more sources
Public-key cryptosystems from the worst-case shortest vector problem: extended abstract
Symposium on the Theory of Computing, 2009 We construct public-key cryptosystems that are secure assuming theworst-case hardness of approximating the minimum distance on n-dimensional lattices to within small Poly(n) factors.
Chris Peikert
semanticscholar +1 more source
High order discretization schemes for stochastic volatility models [PDF]
, 2013 International audienceIn usual stochastic volatility models, the process driving the volatility of the asset price evolves according to an autonomous one-dimensional stochastic differential equation.
Jourdain, Benjamin, Sbai, Mohamed
core +4 more sources
IEEE Access, 2018 Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls.
I. Ahmad +3 more
semanticscholar +1 more source
Comparison of Different Coordination Strategies for the RoboCupRescue Simulation [PDF]
Advanced Robotics, 2004 Evolutionary techniques are one of the most successful paradigms in the field of optimization. In this paper we present a new approach, named GAEDA, which is a new hybrid algorithm based on genetic and estimation of distribution algorithms. The original objective is to get benefits from both approaches.
Terry Anderson +9 more
openaire +80 more sources