August Romeo,Hans Supèr
August Romeo
We introduce a neural model capable of feature selectiveness by spike-mediated synchronization through lateral synaptic couplings. For a stimulus containing two features, the attended one elicits a higher response. In the case of sequential...
Ivan S Živković,Predrag S Stanimirović,Yimin Wei
Ivan S Živković
Two linear recurrent neural networks for generating outer inverses with prescribed range and null space are defined. Each of the proposed recurrent neural networks is based on the matrix-valued differential equation, a generalization of dyn...
Furui Liu,Laiwan Chan
Furui Liu
In this article, we deal with the problem of inferring causal directions when the data are on discrete domain. By considering the distribution of the cause [Formula: see text] and the conditional distribution mapping cause to effect [Formul...
Orthogonal Connectivity Factorization: Interpretable Decomposition of Variability in Correlation Matrices [0.03%]
正交连接因素分解：相关矩阵变化性的解释性分解
Aapo Hyvärinen,Jun-ichiro Hirayama,Vesa Kiviniemi et al.
Aapo Hyvärinen et al.
In many multivariate time series, the correlation structure is nonstationary, that is, it changes over time. The correlation structure may also change as a function of other cofactors, for example, the identity of the subject in biomedical ...
Microdomain [Ca(2+)] Fluctuations Alter Temporal Dynamics in Models of Ca(2+)-Dependent Signaling Cascades and Synaptic Vesicle Release [0.03%]
钙微域[Ca2+]波动改变钙依赖性信号级联和突触囊泡释放模型的动态过程
Seth H Weinberg
Seth H Weinberg
Ca(2+)-dependent signaling is often localized in spatially restricted microdomains and may involve only 1 to 100 Ca(2+) ions. Fluctuations in the microdomain Ca(2+) concentration (Ca(2+)) can arise from a wide range of elementary processes,...
Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery [0.03%]
核化弹性网正则化：泛化界限和稀疏表示能力
Yunlong Feng,Shao-Gao Lv,Hanyuan Hang et al.
Yunlong Feng et al.
Kernelized elastic net regularization (KENReg) is a kernelization of the well-known elastic net regularization (Zou & Hastie, 2005). The kernel in KENReg is not required to be a Mercer kernel since it learns from a kernelized dictionary in ...
A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann Machines [0.03%]
完全可见的 boltzmann 机器的伪似然估计的块后验下界最大化算法
Hien D Nguyen,Ian A Wood
Hien D Nguyen
Maximum pseudo-likelihood estimation (MPLE) is an attractive method for training fully visible Boltzmann machines (FVBMs) due to its computational scalability and the desirable statistical properties of the MPLE. No published algorithms for...
An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions [0.03%]
连续状态下Markov决策过程的在线策略梯度算法
Yao Ma,Tingting Zhao,Kohei Hatano et al.
Yao Ma et al.
We consider the learning problem under an online Markov decision process (MDP) aimed at learning the time-dependent decision-making policy of an agent that minimizes the regret-the difference from the best fixed policy. The difficulty of on...
Colin H LaMont,Paul A Wiggins
Colin H LaMont
Change-point analysis is a flexible and computationally tractable tool for the analysis of times series data from systems that transition between discrete states and whose observables are corrupted by noise. The change point algorithm is us...
Correlational Neural Networks [0.03%]
相关神经网络
Sarath Chandar,Mitesh M Khapra,Hugo Larochelle et al.
Sarath Chandar et al.
Common representation learning (CRL), wherein different descriptions (or views) of the data are embedded in a common subspace, has been receiving a lot of attention recently. Two popular paradigms here are canonical correlation analysis (CC...