Results 11 to 20 of about 122,876 (196)

Stochastic Block Models with Multiple Continuous Attributes [PDF]

, 2018
The stochastic block model (SBM) is a probabilistic model for community structure in networks. Typically, only the adjacency matrix is used to perform SBM parameter inference.
Bonacci, Thomas, Kwitt, Roland, Mucha, Peter J., Niethammer, Marc, Stanley, Natalie   +4 more
core   +3 more sources

Predictive intelligence to the edge through approximate collaborative context reasoning [PDF]

, 2017
We focus on Internet of Things (IoT) environments where a network of sensing and computing devices are responsible to locally process contextual data, reason and collaboratively infer the appearance of a specific phenomenon (event).
Anagnostopoulos, Christos, Kolomvatsos, Kostas   +1 more
core   +1 more source

Stochastic partial differential equation based modelling of large space-time data sets

, 2016
Increasingly larger data sets of processes in space and time ask for statistical models and methods that can cope with such data. We show that the solution of a stochastic advection-diffusion partial differential equation provides a flexible model class ...
Abramowitz, Anderson, Antolik, Applequist, Banerjee, Banerjee, Bardossy, Bell, Berrocal, Borgman, Bremnes, Bronson, Brooks, Brown, Cameletti, Carter, Coe, Cooley, Cramér, Cressie, Cressie, Cressie, Duan, Dudgeon, Folland, Friederichs, Frühwirth-Schnatter, Fuentes, Furrer, Gelfand, Gelfand, Gelman, Gilks, Gneiting, Gneiting, Gneiting, Gneiting, Gneiting, Golightly, Gottlieb, Haberman, Hamill, Hamill, Handcock, Hastings, Heine, Huang, Hutchinson, Johannesson, Jones, Kleiber, Künsch, Lindgren, Ma, Malmberg, Matheson, Metropolis, Neal, Nychka, Paciorek, Paciorek, Palmer, Pedlosky, Ramrez, Robert, Roberts, Roberts, Roberts, Royle, Rue, Rue, Sampson, Sansó, Sansó, Shumway, Sigrist, Simpson, Sloughter, Smith, Solna, Stein, Stein, Stein, Stein, Stensrud, Steppeler, Stidd, Storvik, Stroud, Tobin, Vecchia, Vivar, Whittle, Whittle, Whittle, Wikle, Wikle, Wikle, Wikle, Wikle, Wikle, Wikle, Wilks, Wilks, Xu, Xu, Yussouf, Zheng   +107 more
core   +1 more source

Domain-Driven Identification of Football Probabilities

Mathematics
Obtaining accurate estimates of the true probabilities of sporting events remains a long-standing problem in sports analytics. In this paper we propose a new domain-driven approach that infers true probabilities from betting odds.
Artur Karimov, Aleksandr Koshkin, Dmitrii Kaplun, Denis Butusov   +3 more
doaj   +1 more source

Reinforcement learning or active inference? [PDF]

, 2009
This paper questions the need for reinforcement learning or control theory when optimising behaviour. We show that it is fairly simple to teach an agent complicated and adaptive behaviours using a free-energy formulation of perception.
A Gillies, A Traulsen, AA Prinz, AJ Yu, BA Olshausen, CF Camerer, CJCH Watkins, D Kersten, D Mumford, DC Knill, DH Ballard, DJ Evans, DJC MacKay, DM Wolpert, DV Anosov, E Todorov, F Schweitzer, F Wörgötter, GE Hinton, H Helmholtz, HB Barlow, HR Maturana, J Najemnik, JC Horvitz, Jean Daunizeau, K Doya, K Friston, K Friston, K Friston, K Friston, K Friston, K Wei, Karl J. Friston, KJ Friston, KJ Friston, L Demetrius, LF Abbott, ME Tipping, ND Daw, Olaf Sporns, P Dayan, P Manoonpong, P Redgrave, PF Verschure, PF Verschure, PR Montague, R Bellman, R Linsker, R Shadmehr, RA Rescorla, RP Feynman, RP Rao, RS Sutton, RS Sutton, S Deneve, S Kakade, SJ Kiebel, Stefan J. Kiebel, T Kulviciusa, T Ozaki, TS Lee, V Gontar, W Schultz, W Schultz, W Tschacher   +64 more
core   +5 more sources

Resolving the structure of interactomes with hierarchical agglomerative clustering

BMC Bioinformatics, 2011
Background Graphs provide a natural framework for visualizing and analyzing networks of many types, including biological networks. Network clustering is a valuable approach for summarizing the structure in large networks, for predicting unobserved ...
Park Yongjin, Bader Joel S
doaj   +1 more source

Hybrid machine learning algorithms accurately predict marine ecological communities

Frontiers in Marine Science
Predicting ecological communities is highly challenging but necessary to establish effective conservation and monitoring programs. This study aims to predict the spatial distribution of nematode associations from 25 m to 2500 m water depth over an area ...
Luciana Erika Yaginuma, Luciana Erika Yaginuma, Fabiane Gallucci, Danilo Cândido Vieira, Paula Foltran Gheller, Simone Brito de Jesus, Thais Navajas Corbisier, Gustavo Fonseca   +7 more
doaj   +1 more source

Statistical Inference for Partially Observed Markov Processes via the R Package pomp [PDF]

, 2015
Partially observed Markov process (POMP) models, also known as hidden Markov models or state space models, are ubiquitous tools for time series analysis.
Ionides, Edward L., King, Aaron A., Nguyen, Dao   +2 more
core   +4 more sources

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Semantic segmentation and semi-transparent visualization of neuroblastoma based on ensemble learning

工程科学学报
Neuroblastoma is a cancer originating from immature nerve cells that mostly occurs in infants and young children. The morphology of neuroblastoma tumors is highly complex, exhibiting variations in location, shape, and size.
Jiao PAN, Shenyu JI, Liang LI, Satoshi TANAKA, Xiaokun WANG   +4 more
doaj   +1 more source