Results 191 to 200 of about 116,234 (262)

Hybrid Model Approach to Appliance Load Disaggregation : Expressive appliance modelling by combining convolutional neural networks and hidden semi Markov models.

, 2015
Anders Huss
openalex   +1 more source

Urban morphology and climate vulnerability assessment in Kuwait: A spatio-temporal predictive analysis utilizing deep neural network-enhanced markov chain models for 2050 and 2100. [PDF]

PLoS One
Al-Shaar W, Lehmann X, Saad N, Elmazi G, Al-Shaar M, Tohme C.   +5 more
europepmc   +1 more source

Revisiting alpha resting state dynamics underlying hallucinatory vulnerability: Insights from Hidden semi‐Markov Modeling

Hanna Honcamp, Michael Schwartze, Maria Amorim, David E.J. Linden, Ana P. Pinheiro, Sonja A. Kotz   +5 more
openalex   +1 more source

Novel dataset and model for restroom sound event classification. [PDF]

Sci Rep
Öztürk AE, Kıymık E, Özkök KM.
europepmc   +1 more source

Disease candidate genes prediction using positive labeled and unlabeled instances. [PDF]

BMC Med Genomics
Molaei S, Jalili S.
europepmc   +1 more source

Causality, Machine Learning, and Feature Selection: A Survey. [PDF]

Sensors (Basel)
Lamsaf A, Carrilho R, Neves JC, Proença H.   +3 more
europepmc   +1 more source

Relative importance sampling for off-policy actor-critic in deep reinforcement learning. [PDF]

Sci Rep
Humayoo M, Zheng G, Dong X, Miao L, Qiu S, Zhou Z, Wang P, Ullah Z, Junejo NUR, Cheng X.   +9 more
europepmc   +1 more source

Learned Minimal Intervention Control Synthesis based on Hidden Semi-Markov Models

, 2015
Martijn J.A. Zeestraten, Sylvain Calinon, Darwin G. Caldwell   +2 more
openalex   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Hidden semi-Markov model based speech synthesis

Interspeech 2004, 2004
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. In a hidden Markov model (HMM) based speech synthesis system which we have proposed, rhythm and tempo are controlled by state duration probability distributions modeled by single Gaussian distributions.
Heiga Zen, Keiichi Tokuda, Takashi Masuko, Takao Kobayashi, Tadashi Kitamura   +4 more
openaire   +3 more sources