koneoppiminen

name

• koneoppiminen

Works about koneoppiminen

• 25th International Conference on Machine Learning (ICML 2008) : abstract booklet, Helsinki, Finland, July 5-9, 2008
• A dependency parsing approach to biomedical text mining
• Advances in analysis and exploration in medical imaging
• Advances in Extreme Learning Machines
• Advances in methods of anomaly detection and visualization of multivariate data
• Advances in weakly supervised learning of morphology
• Algorithmic issues in computational intelligence optimization :
• Application of advanced geospatial computation and technology to model and manage coastal environments
• Application of data mining methods in the study of crime based on international data sources
• Applications for Alzheimer’s disease and Autism spectrum disorder
• Applying machine learning methods to aphasic data
• Assessing fall risk of older adults using accelerometry-based methods
• Bag-of-features approach to unsupervised visual object categorisation
• Bayesian latent Gaussian spatio-temporal models
• Bayesian latent variable models for learning dependencies between multiple data sources
• Bayesian multi-view models for data-driven drug response analysis
• Classification of metallic targets using a walk-through metal detection portal
• Classification of the human swaying processes : a machine learning approach
• Cluster validity in clustering methods
• Cognitive and probabilistic basis of prominence perception in speech
• Collective entity resolution methods for network inference
• Computational analysis of small non-coding RNAs in model systems
• Computational modeling and simulation of language and meaning :
• Computing the stochastic complexity of simple probabilistic graphical models
• Context awareness for navigation applications
• Contextualising the application of human-language technologies for counselling
• Data fusion and matching by maximizing statistical dependencies
• Developing fast machine learning techniques with applications to steganalysis problems
• Digitaalisista sairaaloista kognitiivisiin sairaaloihin
• Disease state index and disease state fingerprint :
• Efficient and robust methods for audio and video signal analysis
• Emergence of representations in natural data
• Foundations and advances in deep learning
• High-dimensional Big Data processing with dictionary learning and diffusion maps
• IBM-teknologioiden hyödyntäminen terveydenhuollossa
• Image database retrieval methods based on feature histograms
• Inference of relevance for proactive information retrieval
• Intelligent solutions for real-life data-driven applications
• Intrusion detection applications using knowledge discovery and data mining
• Kernel-based ranking : methods for learning and performance estimation
• Knowledge-lean text mining
• Koneoppimispohjaiset tekoälyratkaisut hyvinvointi- ja terveyssovelluksissa
• Language- and domain-independent text mining
• Learning constructions of natural language : statistical models and evaluations
• Learning discriminative models from structured multi-sensor data for human context recognition
• Learning mental states from biosignals
• Learning nonlinear visual processing from natural images
• Leveraging emotion and word-based features for antisocial behavior detection in user-generated content
• Machine learning and clinical text : supporting health information flow
• Machine learning for corporate bankruptcy prediction
• Machine learning in systems biology : proceedings of the third international workshop, September 5-6, 2009, Ljubljana, Slovenia
• Machine learning methods for improving drug response prediction in cancer
• Machine learning methods for incomplete data and variable selection
• Machine learning methods for spectrum exploration and exploitation
• Manifold learning from structured kernels and out of sample extensions
• MASHS 2010 : 10-11 June 2010, Lille, France : proceedings
• Matkaopas johtajalle
• Memory-saving optimization algorithms for systems with limited hardware
• Methods for facial expression recognition with applications in challenging situations
• Methods for the application of glottal inverse filtering to statistical parametric speech synthesis
• Missä koneen älykkyys päättyy ja ihmisen luovuus alkaa
• Mitä tulisi tietää tekoälystä
• Model selection in time series machine learning applications
• Morphological disambiguation using probabilistic sequence models
• Multilabel classification through structured output learning :
• Multilayer perceptron training with multiobjective memetic optimization
• Multimodal video analysis and modeling
• Multivariate multi-way modelling of multiple high-dimensional data sources
• Music mood annotation using semantic computing and machine learning
• Natural language processing system for business intelligence
• Network security monitoring and anomaly detection in industrial control system networks
• New computational methods for efficient utilisation of public data
• New kernel functions and learning methods for text and data mining
• Normalized maximum likelihood methods for clustering and density estimation
• On data mining applications in mobile networking and network security
• On model selection for Bayesian networks and sparse logistic regression
• On text document classification and retrieval using self-organising maps
• Overfitting in feature selection : pitfalls and solutions
• Privacy-preserving cloud-assisted services
• Probabilistic components of molecular interactions and drug responses
• Probabilistic modeling and machine learning in structural and systems biology : workshop proceedings, Tuusula, Finland June 17-18, 2006
• Quantitative approaches for detecting emerging technologies
• Radio frequency fingerprinting for outdoor user equipment localization
• Real-time action recognition for RGB-D and motion capture data
• Retrieval of gene expression measurements with probabilistic models
• Robotti koulussa
• Robust methods for speech feature extraction
• SAME 2017
• Seminar on Internetworking, spring 2014 : recent developments in fixed and mobile Internet
• Sparse predictive modeling : a cost-effective perspective
• Tekoäly ja terveydenhuolto Suomessa : loppuraportti vol. 1
• Tekoälytutkijan testamentti
• Terveydenhuollon alustat ja tekoäly
• Training methods for climate and neural network models
• Unstable feature relevance in classification tasks
• Unsupervised network intrusion detection systems for zero-day fast-spreading network attacks and botnets
• Unsupervised networks, stochasticity and optimization in deep learning
• Variations on a theme : the classification of benthic macroinvertebrates