about
SciNet: Interactive Intent Modeling for Information DiscoveryDiscriminative components of data.Methods for estimating human endogenous retrovirus activities from EST databasesToward computational cumulative biology by combining models of biological datasets.Improved learning of Riemannian metrics for exploratory analysis.Genome-wide modeling of transcription kinetics reveals patterns of RNA production delays.Visual Interaction with Dimensionality Reduction: A Structured Literature Analysis.Bankruptcy analysis with self-organizing maps in learning metrics.IntentStreamsUser Model in a Box: Cross-System User Model Transfer for Resolving Cold Start ProblemsInformation retrieval approach to meta-visualizationOptimizing Spatial and Temporal Reuse in Wireless Networks by Decentralized Partially Observable Markov Decision ProcessesIntentradarMultiplicative update for fast optimization of information retrieval based neighbor embeddingTransfer learning using a nonparametric sparse topic modelDirecting exploratory search with interactive intent modelingExpectation Maximization for Average Reward Decentralized POMDPsEfficient optimization for data visualization as an information retrieval taskFocused multi-task learning in a Gaussian process frameworkMachine learning for signal processing 2010Machine Learning: How It Can Help NanocomputingDimensionality Reduction for Data Visualization [Applications Corner]Fault tolerant machine learning for nanoscale cognitive radioFocused Multi-task Learning Using Gaussian ProcessesAn information retrieval perspective on visualization of gene expression data with ontological annotationEfficient Planning in Large POMDPs through Policy Graph Based Factorized ApproximationsGraph visualization with latent variable modelsRelevant subtask learning by constrained mixture modelsVisualizations for assessing convergence and mixing of Markov chain Monte Carlo simulationsLatent state models of primary user behavior for opportunistic spectrum accessSupervised nonlinear dimensionality reduction by Neighbor RetrievalVisualization by Linear Projections as Information RetrievalNano-scale fault tolerant machine learning for cognitive radioFast Semi-Supervised Discriminative Component AnalysisImproved learning of Riemannian metrics for exploratory analysis [Neural Networks 17 (8–9) 1087–1100]Sequential information bottleneck for finite dataVisualizations for Assessing Convergence and Mixing of MCMCLearning More Accurate Metrics for Self-Organizing MapsData Visualization and Analysis with Self-Organizing Maps in Learning MetricsLearning from Relevant Tasks Only
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P50
description
machine learning researcher in Finland
@en
onderzoeker
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name
Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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Jaakko Peltonen
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0000-0003-3485-8585