Bayes methods; expectation-maximisation algorithm; hidden Markov models; learning (artificial intelligence); neural nets; pattern classification; Bayesian spiking neural network; EM algorithm; HMM; SNN; STDP learning rule; expectation maximization algorithm; hidden Markov model; nonadaptive transition probabilities; sequential data classification; spike timing dependency learning rule; Computational modeling; Hidden Markov models; Mathematical model; Neurons; Speech; Speech recognition; Training; HMM; STDP; Sequential data; classification; speech recognition; spiking neural network;
机译:用贝叶斯尖峰神经网络训练隐马尔可夫模型
机译:通过胜利的尖刺神经网络中隐马尔可夫模型的紧急推断
机译:用隐马尔可夫模型和神经网络确定1型HIV的GAG分离蛋白90CF056的3D结构的结构用隐马尔可夫模型和神经网络确定1型HIV的Gag多聚蛋白分离物90CF056的三维结构
机译:研究隐马尔可夫模型与贝叶斯尖峰神经网络的相互作用
机译:使用隐马尔可夫模型和贝叶斯网络进行基于上下文的癫痫发作识别。
机译:使用贝叶斯非参数隐藏半马尔可夫模型在婚姻互动中解开影响过程
机译:用贝叶斯尖峰神经网络训练隐马尔可夫模型