
Projective Inference in Highdimensional Problems: Prediction and Feature Selection
This paper discusses predictive inference and feature selection for gene...
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Marketplace for AI Models
Artificial intelligence shows promise for solving many practical societa...
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GradientBased Training and Pruning of Radial Basis Function Networks with an Application in Materials Physics
Many applications, especially in physics and other sciences, call for ea...
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Learning The Invisible: A Hybrid Deep LearningShearlet Framework for Limited Angle Computed Tomography
The high complexity of various inverse problems poses a significant chal...
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Scalable Bayesian Nonlinear Matrix Completion
Matrix completion aims to predict missing elements in a partially observ...
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Fairnessaware machine learning: a perspective
Algorithms learned from data are increasingly used for deciding many asp...
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The Power of Constraint Grammars Revisited
Sequential Constraint Grammar (SCG) (Karlsson, 1990) and its extensions ...
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Optimal Management of Naturally Regenerating Unevenaged Forests
A shift from evenaged forest management to unevenaged management pract...
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An adaptive prefixassignment technique for symmetry reduction
This paper presents a technique for symmetry reduction that adaptively a...
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Learning nonparametric Markov networks with mutual information
We propose a method for learning Markov network structures for continuou...
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DopeLearning: A Computational Approach to Rap Lyrics Generation
Writing rap lyrics requires both creativity to construct a meaningful, i...
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Causal Discovery from Subsampled Time Series Data by Constraint Optimization
This paper focuses on causal structure estimation from time series data ...
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A note on adjusting R^2 for using with crossvalidation
We show how to adjust the coefficient of determination (R^2) when used f...
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Learning Gaussian Graphical Models With Fractional Marginal Pseudolikelihood
We propose a Bayesian approximate inference method for learning the depe...
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A finite axiomatization of conditional independence and inclusion dependencies
We present a complete finite axiomatization of the unrestricted implicat...
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Fast kNN search
Efficient index structures for fast approximate nearest neighbor queries...
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Classification and Bayesian Optimization for LikelihoodFree Inference
Some statistical models are specified via a data generating process for ...
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Multiple Output Regression with Latent Noise
In highdimensional data, structured noise caused by observed and unobse...
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On Finding Optimal Polytrees
Inferring probabilistic networks from data is a notoriously difficult ta...
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Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation
The normalized maximized likelihood (NML) provides the minimax regret so...
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Marginal PseudoLikelihood Learning of Markov Network structures
Undirected graphical models known as Markov networks are popular for a w...
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Density Estimation in Infinite Dimensional Exponential Families
In this paper, we consider an infinite dimensional exponential family, P...
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Bridging Information Criteria and Parameter Shrinkage for Model Selection
Model selection based on classical information criteria, such as BIC, is...
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Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation
We propose a new method for detecting changes in Markov network structur...
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Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
Gaussian processes (GP) are powerful tools for probabilistic modeling pu...
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Gaussian Process Regression with a Studentt Likelihood
This paper considers the robust and efficient implementation of Gaussian...
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MultiWay, MultiView Learning
We extend multiway, multivariate ANOVAtype analysis to cases where one...
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The Computational Complexity of Orientation Search Problems in CryoElectron Microscopy
In this report we study the problem of determining threedimensional ori...
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Neural machine translation for lowresource languages
Neural machine translation (NMT) approaches have improved the state of t...
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Generic Axiomatization of Families of Noncrossing Graphs in Dependency Parsing
We present a simple encoding for unlabeled noncrossing graphs and show h...
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Continuous multilinguality with language vectors
Most existing models for multilingual natural language processing (NLP) ...
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Clustering Comparable Corpora of Russian and Ukrainian Academic Texts: Word Embeddings and Semantic Fingerprints
We present our experience in applying distributional semantics (neural w...
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Laplace approximation and the natural gradient for Gaussian process regression with the heteroscedastic Studentt model
This paper considers the Laplace method to derive approximate inference ...
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Closing in on Time and Space Optimal Construction of Compressed Indexes
Fast and spaceefficient construction of compressed indexes such as comp...
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Largescale study of social network structure and team performance in a multiplayer online game
A question of interest in both theory and practice is if and how familia...
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Testing for observationdependent regime switching in mixture autoregressive models
Testing for regime switching when the regime switching probabilities are...
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Characterizing Smartphone Power Management in the Wild
For better reliability and prolonged battery life, it is important that ...
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A Deep Incremental Boltzmann Machine for Modeling Context in Robots
Context is an essential capability for robots that are to be as adaptive...
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At the Roots of Dictionary Compression: String Attractors
A wellknown fact in the field of lossless text compression is that high...
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String Attractors: Verification and Optimization
String attractors [STOC 2018] are combinatorial objects recently introdu...
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Probabilistic team semantics
Team semantics is a semantical framework for the study of dependence and...
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Proximity Verification Based on Acoustic Room Impulse Response
Device proximity verification has a wide range of security applications ...
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Automatic Language Identification in Texts: A Survey
Language identification (LI) is the problem of determining the natural l...
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Evaluation of research publications and publication channels in astronomy and astrophysics
The astronomy community usually turns to the Astrophysics Data System fo...
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Minimum Segmentation for Pangenomic Founder Reconstruction in Optimal Time
Given a threshold L and a set R = {R_1, ..., R_m} of m haplotype sequenc...
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A mixture autoregressive model based on Student's tdistribution
A new mixture autoregressive model based on Student's tdistribution is ...
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Assembling Omnitigs using HiddenOrder de Bruijn Graphs
De novo DNA assembly is a fundamental task in Bioinformatics, and findin...
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Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys
Requirements Engineering (RE) has established itself as a software engin...
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Algorithms for AntiPowers in Strings
A string S[1,n] is a power (or tandem repeat) of order k and period n/k ...
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Generalized modes in Bayesian inverse problems
This work is concerned with nonparametric modes and MAP estimates for p...
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Helsingin yliopisto
The University of Helsinki is a university located in Helsinki, Finland since 1829, but was founded in the city of Turku in 1640 as the Royal Academy of Åbo, at that time part of the Swedish Empire.