The University of Manchester

∙ Manchester , United Kingdom ∙ 0 followers

Part of the prestigious Russell Group of universities, The University of Manchester is the largest single-site university in the UK, with the biggest student community.

Margin Maximization as Lossless Maximal Compression

The ultimate goal of a supervised learning algorithm is to produce model...
01/28/2020 ∙ by Nikolaos Nikolaou, et al. ∙ 23 ∙ share

read it
Better Boosting with Bandits for Online Learning

Probability estimates generated by boosting ensembles are poorly calibra...
01/16/2020 ∙ by Nikolaos Nikolaou, et al. ∙ 11 ∙ share

read it
A Deep Neural Network for Finger Counting and Numerosity Estimation

In this paper, we present neuro-robotics models with a deep artificial n...
07/09/2019 ∙ by Leszek Pecyna, et al. ∙ 9 ∙ share

read it
Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features

A new type of segmentation-based semantic feature (SegSF) for multi-temp...
08/30/2019 ∙ by Ananya Gupta, et al. ∙ 9 ∙ share

read it
ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration

The Asynchronous Time-based Image Sensor (ATIS) and the Spiking Neural N...
12/03/2019 ∙ by Arren Glover, et al. ∙ 2 ∙ share

read it
Multi-Label Zero-Shot Human Action Recognition via Joint Latent Embedding

Human action recognition refers to automatic recognizing human actions f...
09/15/2017 ∙ by Qian Wang, et al. ∙ 0 ∙ share

read it
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

We investigate the learning of quantitative structure activity relations...
09/12/2017 ∙ by Ivan Olier, et al. ∙ 0 ∙ share

read it
Visualisation of Survey Responses using Self-Organising Maps: A Case Study on Diabetes Self-care Factors

Due to the chronic nature of diabetes, patient self-care factors play an...
08/30/2016 ∙ by Santosh Tirunagari, et al. ∙ 0 ∙ share

read it
Dependency Injection for Programming by Optimization

Programming by Optimization tools perform automatic software configurati...
07/13/2017 ∙ by Zoltan A. Kocsis, et al. ∙ 0 ∙ share

read it
Identifying networks with common organizational principles

Many complex systems can be represented as networks, and the problem of ...
04/02/2017 ∙ by Anatol E. Wegner, et al. ∙ 0 ∙ share

read it
Alternative Semantic Representations for Zero-Shot Human Action Recognition

A proper semantic representation for encoding side information is key to...
06/28/2017 ∙ by Qian Wang, et al. ∙ 0 ∙ share

read it
Monotonicity of Fitness Landscapes and Mutation Rate Control

The typical view in evolutionary biology is that mutation rates are mini...
09/04/2012 ∙ by Roman V. Belavkin, et al. ∙ 0 ∙ share

read it
Deploying learning materials to game content for serious education game development: A case study

The ultimate goals of serious education games (SEG) are to facilitate le...
08/04/2016 ∙ by Harits Ar Rosyid, et al. ∙ 0 ∙ share

read it
An associative memory for the on-line recognition and prediction of temporal sequences

This paper presents the design of an associative memory with feedback th...
11/05/2006 ∙ by J. Bose, et al. ∙ 0 ∙ share

read it
GPflow: A Gaussian process library using TensorFlow

GPflow is a Gaussian process library that uses TensorFlow for its core c...
10/27/2016 ∙ by Alexander G. de G. Matthews, et al. ∙ 0 ∙ share

read it
Novelty Detection on a Mobile Robot Using Habituation

In this paper a novelty filter is introduced which allows a robot operat...
06/02/2000 ∙ by Stephen Marsland, et al. ∙ 0 ∙ share

read it
A Real-Time Novelty Detector for a Mobile Robot

Recognising new or unusual features of an environment is an ability whic...
06/02/2000 ∙ by Stephen Marsland, et al. ∙ 0 ∙ share

read it
Novelty Detection for Robot Neotaxis

The ability of a robot to detect and respond to changes in its environme...
06/02/2000 ∙ by Stephen Marsland, et al. ∙ 0 ∙ share

read it
Learning Constructive Primitives for Online Level Generation and Real-time Content Adaptation in Super Mario Bros

Procedural content generation (PCG) is of great interest to game design ...
10/27/2015 ∙ by Peizhi Shi, et al. ∙ 0 ∙ share

read it
Temporal ordering of clinical events

This report describes a minimalistic set of methods engineered to anchor...
04/14/2015 ∙ by Azad Dehghan, et al. ∙ 0 ∙ share

read it
Algorithm for Adapting Cases Represented in a Tractable Description Logic

Case-based reasoning (CBR) based on description logics (DLs) has gained ...
05/16/2014 ∙ by Liang Chang, et al. ∙ 0 ∙ share

read it
Zero-Shot Visual Recognition via Bidirectional Latent Embedding

Zero-shot learning for visual recognition, e.g., object and action recog...
07/07/2016 ∙ by Qian Wang, et al. ∙ 0 ∙ share

read it
Syntactic vs. Semantic Locality: How Good Is a Cheap Approximation?

Extracting a subset of a given OWL ontology that captures all the ontolo...
07/06/2012 ∙ by Chiara Del Vescovo, et al. ∙ 0 ∙ share

read it
Principal Autoparallel Analysis: Data Analysis in Weitzenböck Space

The statistical analysis of data lying on a differentiable, locally Eucl...
11/11/2015 ∙ by Stephen Marsland, et al. ∙ 0 ∙ share

read it
Reasoning with Very Expressive Fuzzy Description Logics

It is widely recognized today that the management of imprecision and vag...
10/31/2011 ∙ by I. Horrocks, et al. ∙ 0 ∙ share

read it
Variational Gaussian Process Dynamical Systems

High dimensional time series are endemic in applications of machine lear...
07/25/2011 ∙ by Andreas C. Damianou, et al. ∙ 0 ∙ share

read it
Direct high-order edge-preserving regularization for tomographic image reconstruction

In this paper we present a new two-level iterative algorithm for tomogra...
09/15/2015 ∙ by Daniil Kazantsev, et al. ∙ 0 ∙ share

read it
Robust Face Recognition with Structural Binary Gradient Patterns

This paper presents a computationally efficient yet powerful binary fram...
06/01/2015 ∙ by Weilin Huang, et al. ∙ 0 ∙ share

read it
Multi-agent learning using Fictitious Play and Extended Kalman Filter

Decentralised optimisation tasks are important components of multi-agent...
01/15/2013 ∙ by Michalis Smyrnakis, et al. ∙ 0 ∙ share

read it
A Note on the Complexity of the Satisfiability Problem for Graded Modal Logics

Graded modal logic is the formal language obtained from ordinary (propos...
05/19/2009 ∙ by Yevgeny Kazakov, et al. ∙ 0 ∙ share

read it
Bayesian Mixture Models for Frequent Itemset Discovery

In binary-transaction data-mining, traditional frequent itemset mining o...
09/26/2012 ∙ by Ruefei He, et al. ∙ 0 ∙ share

read it
Adaptive Forgetting Factor Fictitious Play

It is now well known that decentralised optimisation can be formulated a...
12/11/2011 ∙ by Michalis Smyrnakis, et al. ∙ 0 ∙ share

read it
Reasoning with Individuals for the Description Logic SHIQ

While there has been a great deal of work on the development of reasonin...
05/11/2000 ∙ by Ian Horrock, et al. ∙ 0 ∙ share

read it
Practical Reasoning for Expressive Description Logics

Description Logics (DLs) are a family of knowledge representation formal...
05/10/2000 ∙ by Ian Horrocks, et al. ∙ 0 ∙ share

read it
Practical Reasoning for Very Expressive Description Logics

Description Logics (DLs) are a family of knowledge representation formal...
05/09/2000 ∙ by Ian Horrocks, et al. ∙ 0 ∙ share

read it
Reasoning with Axioms: Theory and Pratice

When reasoning in description, modal or temporal logics it is often usef...
05/09/2000 ∙ by Ian Horrocks, et al. ∙ 0 ∙ share

read it
Variational Inducing Kernels for Sparse Convolved Multiple Output Gaussian Processes

Interest in multioutput kernel methods is increasing, whether under the ...
12/16/2009 ∙ by Mauricio A. Álvarez, et al. ∙ 0 ∙ share

read it
Sparse Convolved Multiple Output Gaussian Processes

Recently there has been an increasing interest in methods that deal with...
11/26/2009 ∙ by Mauricio A. Álvarez, et al. ∙ 0 ∙ share

read it
How big is big enough? Unsupervised word sense disambiguation using a very large corpus

In this paper, the problem of disambiguating a target word for Polish is...
10/22/2017 ∙ by Piotr Przybyła, et al. ∙ 0 ∙ share

read it
Investigating how well contextual features are captured by bi-directional recurrent neural network models

Learning algorithms for natural language processing (NLP) tasks traditio...
09/03/2017 ∙ by Kushal Chawla, et al. ∙ 0 ∙ share

read it
A computational investigation of sources of variability in sentence comprehension difficulty in aphasia

We present a computational evaluation of three hypotheses about sources ...
03/14/2017 ∙ by Paul Mätzig, et al. ∙ 0 ∙ share

read it
As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian

Similes are natural language expressions used to compare unlikely things...
05/20/2016 ∙ by Nikola Milosevic, et al. ∙ 0 ∙ share

read it
Complexity and universality in the long-range order of words

As is the case of many signals produced by complex systems, language pre...
03/03/2015 ∙ by Marcelo A Montemurro, et al. ∙ 0 ∙ share

read it
What do we need to build explainable AI systems for the medical domain?

Artificial intelligence (AI) generally and machine learning (ML) specifi...
12/28/2017 ∙ by Andreas Holzinger, et al. ∙ 0 ∙ share

read it
A Story of Parametric Trace Slicing, Garbage and Static Analysis

This paper presents a proposal (story) of how statically detecting unrea...
08/24/2017 ∙ by Giles Reger, et al. ∙ 0 ∙ share

read it
Etymo: A New Discovery Engine for AI Research

We present Etymo (https://etymo.io), a discovery engine to facilitate ar...
01/25/2018 ∙ by Weijian Zhang, et al. ∙ 0 ∙ share

read it
Probabilistic Canonical Correlation Analysis: A Whitening Approach

Canonical correlation analysis (CCA) is a classic and widely used statis...
02/10/2018 ∙ by Takoua Jendoubi, et al. ∙ 0 ∙ share

read it
The K-Nearest Neighbour UCB algorithm for multi-armed bandits with covariates

In this paper we propose and explore the k-Nearest Neighbour UCB algorit...
03/01/2018 ∙ by Henry WJ Reeve, et al. ∙ 0 ∙ share

read it
On the Performance of Network NOMA in Uplink CoMP Systems: A Stochastic Geometry Approach

To improve the system throughput, this paper proposes a network non-orth...
03/01/2018 ∙ by Yanshi Sun, et al. ∙ 0 ∙ share

read it
Fine-Grained Energy Profiling for Deep Convolutional Neural Networks on the Jetson TX1

Energy-use is a key concern when migrating current deep learning applica...
03/29/2018 ∙ by Crefeda Faviola Rodrigues, et al. ∙ 0 ∙ share

read it

The University of Manchester

Featured Researchers