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Named Entity Recognition without Labelled Data: A Weak Supervision Approach
Named Entity Recognition (NER) performance often degrades rapidly when a...
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Likelihood-Free Inference with Deep Gaussian Processes
In recent years, surrogate models have been successfully used in likelih...
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Deep Predictive Models in Interactive Music
Automatic music generation is a compelling task where much recent progre...
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On Measuring and Quantifying Performance: Error Rates, Surrogate Loss, and an Example in SSL
In various approaches to learning, notably in domain adaptation, active ...
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Mapping Data to Ontologies with Exceptions Using Answer Set Programming
In ontology-based data access, databases are connected to an ontology vi...
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Standard State Space Models of Unawareness (Extended Abstract)
The impossibility theorem of Dekel, Lipman and Rustichini has been thoug...
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3D Vision Guided Robotic Charging Station for Electric and Plug-in Hybrid Vehicles
Electric vehicles (EVs) and plug-in hybrid vehicles (PHEVs) are rapidly ...
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Model-based Bayesian Reinforcement Learning for Dialogue Management
Reinforcement learning methods are increasingly used to optimise dialogu...
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NoReC: The Norwegian Review Corpus
This paper presents the Norwegian Review Corpus (NoReC), created for tra...
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Temporal dynamics of semantic relations in word embeddings: an application to predicting armed conflict participants
This paper deals with using word embedding models to trace the temporal ...
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Redefining Context Windows for Word Embedding Models: An Experimental Study
Distributional semantic models learn vector representations of words thr...
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Redefining part-of-speech classes with distributional semantic models
This paper studies how word embeddings trained on the British National C...
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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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Massively parallel implementation in Python of a pseudo-spectral DNS code for turbulent flows
Direct Numerical Simulations (DNS) of the Navier Stokes equations is a v...
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Robot Localisation and 3D Position Estimation Using a Free-Moving Camera and Cascaded Convolutional Neural Networks
Many works in collaborative robotics and human-robot interaction focuses...
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Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus
In this paper, we present a distributional word embedding model trained ...
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Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing
Robots need to be able to adapt to complex and dynamic environments for ...
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The Impact of Quantum Computing on Present Cryptography
The aim of this paper is to elucidate the implications of quantum comput...
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The Geometry of SDP-Exactness in Quadratic Optimization
Consider the problem of minimizing a quadratic objective subject to quad...
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Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images
The field of collaborative robotics and human-robot interaction often fo...
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Are Automatic Methods for Cognate Detection Good Enough for Phylogenetic Reconstruction in Historical Linguistics?
We evaluate the performance of state-of-the-art algorithms for automatic...
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Experiments with Universal CEFR Classification
The Common European Framework of Reference (CEFR) guidelines describe la...
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Fast parallel multidimensional FFT using advanced MPI
We present a new method for performing global redistributions of multidi...
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Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design
Evolutionary robotics has aimed to optimize robot control and morphology...
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Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations
For robots to handle the numerous factors that can affect them in the re...
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Three tree priors and five datasets: A study of the effect of tree priors in Indo-European phylogenetics
The age of the root of the Indo-European language family has received mu...
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Syntactic Dependency Representations in Neural Relation Classification
We investigate the use of different syntactic dependency representations...
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Transfer Learning for Unseen Robot Detection and Joint Estimation on a Multi-Objective Convolutional Neural Network
A significant problem of using deep learning techniques is the limited a...
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Effective Intersection Theory
Let X ⊂ Y be closed (possibly singular) subschemes of a smooth projectiv...
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Assumption Commitment Types for Resource Management in Virtually Timed Ambients
This paper introduces a type system for resource management in the conte...
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Segre Class Computation and Practical Applications
Let X ⊂ Y be closed (possibly singular) subschemes of a smooth projectiv...
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Tübingen-Oslo system: Linear regression works the best at Predicting Current and Future Psychological Health from Childhood Essays in the CLPsych 2018 Shared Task
This paper describes our efforts in predicting current and future psycho...
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Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation
In this paper, we empirically evaluate the utility of transfer and multi...
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Counterfactually Fair Prediction Using Multiple Causal Models
In this paper we study the problem of making predictions using multiple ...
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Voronoi Cells of Varieties
Every real algebraic variety determines a Voronoi decomposition of its a...
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Privacy Issues and Data Protection in Big Data: A Case Study Analysis under GDPR
Big data has become a great asset for many organizations, promising impr...
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Gaussian processes with linear operator inequality constraints
This paper presents an approach for constrained Gaussian Process (GP) re...
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Automatic detection of passable roads after floods in remote sensed and social media data
This paper addresses the problem of floods classification and floods aft...
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B-spline-like bases for C^2 cubics on the Powell-Sabin 12-split
For spaces of constant, linear, and quadratic splines of maximal smoothn...
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Data Driven Analysis of Tiny Touchscreen Performance with MicroJam
The widespread adoption of mobile devices, such as smartphones and table...
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Guiding Neuroevolution with Structural Objectives
The structure and performance of neural networks are intimately connecte...
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Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds
The complexity of a legged robot's environment or task can inform how sp...
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Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image using CNN
Collaborative robots are becoming more common on factory floors as well ...
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Learning from Higher-Layer Feature Visualizations
Driven by the goal to enable sleep apnea monitoring and machine learning...
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Combining Model and Parameter Uncertainty in Bayesian Neural Networks
Bayesian neural networks (BNNs) have recently regained a significant amo...
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Volatility and intensity
When studying models and estimators in the setting of high-frequency dat...
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Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
A long-standing challenge in Reinforcement Learning is enabling agents t...
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An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks
This paper is about creating digital musical instruments where a predict...
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Simultaneous Estimation of Poisson Parameters
This paper is devoted to the simultaneous estimation of the means of p≥ ...
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Technical Debt Prioritization: State of the Art. A Systematic Literature Review
Background. Software companies need to manage and refactor Technical Deb...
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