Search Results - "Tiňo, Peter"

Asymptotic Fisher memory of randomized linear symmetric Echo State Networks by Tiňo, Peter

“…We study asymptotic properties of Fisher memory of linear Echo State Networks with randomized symmetric state space coupling. In particular, two reservoir…”
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Simple deterministically constructed cycle reservoirs with regular jumps by Rodan, Ali, Tiňo, Peter

“…A new class of state-space models, reservoir models, with a fixed state transition structure (the "reservoir") and an adaptable readout from the state space,…”
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Strong connectivity in real directed networks by Rodgers, Niall, Tiňo, Peter, Johnson, Samuel

“…In many real, directed networks, the strongly connected component of nodes which are mutually reachable is very small. This does not fit with current theory,…”
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Unmodelled clustering methods for gravitational wave populations of compact binary mergers by Powell, Jade, Stevenson, Simon, Mandel, Ilya, Tiňo, Peter

“…ABSTRACT The mass and spin distributions of compact binary gravitational-wave sources are currently uncertain due to complicated astrophysics involved in their…”
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Model-independent inference on compact-binary observations by Mandel, Ilya, Farr, Will M, Colonna, Andrea, Stevenson, Simon, Tino, Peter, Veitch, John

“…The recent advanced LIGO detections of gravitational waves from merging binary black holes enhance the prospect of exploring binary evolution via…”
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Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite Manifold by Tang, Fengzhen, Tino, Peter, Yu, Haibin

“…In many classification scenarios, the data to be analyzed can be naturally represented as points living on the curved Riemannian manifold of symmetric…”
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Ordinal regression based on learning vector quantization by Tang, Fengzhen, Tiňo, Peter

“…Recently, ordinal regression, which predicts categories of ordinal scale, has received considerable attention. In this paper, we propose a new approach to…”
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Swarm-intelligence-based extraction and manifold crawling along the Large-Scale Structure by Awad, Petra, Peletier, Reynier, Canducci, Marco, Smith, Rory, Taghribi, Abolfazl, Mohammadi, Mohammad, Shin, Jihye, Tiňo, Peter, Bunte, Kerstin

“…ABSTRACT The distribution of galaxies and clusters of galaxies on the mega-parsec scale of the Universe follows an intricate pattern now famously known as the…”
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Foreword to the Focus Issue on Machine Intelligence in Astronomy and Astrophysics by Longo, Giuseppe, Merényi, Erzsébet, Ti o, Peter

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Influence and influenceability: global directionality in directed complex networks by Rodgers, Niall, Tiňo, Peter, Johnson, Samuel

“…Knowing which nodes are influential in a complex network and whether the network can be influenced by a small subset of nodes is a key part of network…”
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Fitness-based growth of directed networks with hierarchy by Rodgers, Niall, Tiňo, Peter, Johnson, Samuel

“…Growing attention has been brought to the fact that many real directed networks exhibit hierarchy and directionality as measured through techniques like…”
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ASAP – A sub-sampling approach for preserving topological structures modeled with geodesic topographic mapping by Taghribi, Abolfazl, Canducci, Marco, Mastropietro, Michele, De Rijcke, Sven, Bunte, Kerstin, Tiňo, Peter

“…Topological data analysis tools enjoy increasing popularity in a wide range of applications, such as Computer graphics, Image analysis, Machine learning, and…”
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Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction by Burkhart, Michael C., Lee, Liz Y., Vaghari, Delshad, Toh, An Qi, Chong, Eddie, Chen, Christopher, Tiňo, Peter, Kourtzi, Zoe

“…Predicting the course of neurodegenerative disorders early has potential to greatly improve clinical management and patient outcomes. A key challenge for early…”
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Cognitive fault diagnosis in Tennessee Eastman Process using learning in the model space by Chen, Huanhuan, Tiňo, Peter, Yao, Xin

“…This paper focuses on the Tennessee Eastman (TE) process and for the first time investigates it in a cognitive way. The cognitive fault diagnosis does not…”
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Basic properties and information theory of Audic-Claverie statistic for analyzing cDNA arrays by Tino, Peter

“…The Audic-Claverie method 1 has been and still continues to be a popular approach for detection of differentially expressed genes in the SAGE framework. The…”
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Probabilistic Classification Vector Machines by Huanhuan Chen, Tino, P., Xin Yao

“…In this paper, a sparse learning algorithm, probabilistic classification vector machines (PCVMs), is proposed. We analyze relevance vector machines (RVMs) for…”
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Predictive Ensemble Pruning by Expectation Propagation by Chen, Huanhuan, Tino, Peter, Yao, Xin

“…An ensemble is a group of learners that work together as a committee to solve a problem. The existing ensemble learning algorithms often generate unnecessarily…”
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Short term memory in input-driven linear dynamical systems by Tiňo, Peter, Rodan, Ali

“…We investigate the relation between two quantitative measures characterizing short term memory in input driven dynamical systems, namely the short term memory…”
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A geometric framework for pitch estimation on acoustic musical signals by Goodman, Tom, van Gemst, Karoline, Tiňo, Peter

“…This paper presents a geometric approach to pitch estimation (PE) - an important problem in music information retrieval (MIR), and a precursor to a variety of…”
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Bifurcation structure of equilibria of iterated softmax by Tiňo, Peter

“…We present a detailed bifurcation study of iterated renormalization process driven by softmax transformation parametrized by a temperature parameter. For each…”
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