The multiplicative update rule for an extension of the iterative constrained endmembers algorithmIn this study, we present a new non-negative matrix factorization NMF method using the pixel's barycentric coordinates for endmember extraction, named BC-NMF. Our method applies the geometrical property of...
Feature selection optimized by discrete particle swarm optimization for face recognition This paper proposes a new discrete particle swarm optimization (DPSO) algorithm with a multiplicative likeliness enhancement rule for unordered feature sel... CS Halvorson,Y Yan,G Kamath,... - 《Proc Spie》 被引...
Due to their flexibility and time-varying characteristics, RNNs are increasingly welcomed as models matching a dynamical system40,41,42. To find out whether a dynamical system can also capture the subtle joint-coding rule found in the motor cortex, we trained an RNN model to perform the double...
A technique for factoring the third-order interactions leads to a learning module that again has a simple learning rule based on pairwise correlations. ... GE Hinton - 《Philosophical Transactions of the Royal Society B Biological Sciences》 被引量: 119发表: 2010年 加载更多来源...
We present a game semantics for Linear Logic, in which formulas denote games and proofs denote winning strategies. We show that our semantics yields a categorical model of Linear Logic and prove full completeness for Multiplicative Linear Logic with the MIX rule: every winning strategy is the deno...
Summary: Algorithms in varied fields use the idea of maintaining a distribution over a certain set and use the multiplicative update rule to iteratively change these weights. Their analyses are usually very similar and rely on an exponen... ...
Among different types of fuzzy models adopted to approximate or represent a nonlinear system, the T-S fuzzy model, proposed by Takagi and Sugeno and described by fuzzy IF-THEN rules, has gained a lot of public attention It illustrates the local rule for each local area with a linear ...
PlantRule2:IFx2kis“aboutπ/2rad,”THEN{xk+1=(A2xk+B2uk+C2vk)+(A¯2xk+C¯2vk)wk,yk=D2xk+E2vk,zk=F2xk,k∈N,,where A1=[01−11],B1=[11],C1=[00.4],D1=[0.5−0.5],E1=0.3,A¯1=[0.10.0600.05],C¯1=[0.30],F1=[0.10],A2=[0.11−11.1],B2=[0.80.8],C2...
After each round , the learner computes a new mixed strategy 1 by a simple multiplicative rule: ¤ ¨ 1 1 Theorem 1 For any matrix M with rows and entries in 0 1 , and for any sequence of mixed strategies Q1 Q played by the environment, the sequence of mixed strategies P 1 P...
In this paper, we obtain a conjugacy formula which gives rise, as a corollary, to a new rule for generating new convex functions from old ones. In particular, it allows to extend the aforementioned property to functions of the form ( x , y )→ g ( y ) f ( g ( y ) -1 x ) ...