Ben Auffarth

With artificial intelligence (AI) systems, we can develop goal-driven agents to automate problem-solving. This involves predicting and classifying the available data and training agents to execute tasks successfully. This book will help you to solve complex AI problems using practical recipes.

This book covers the following exciting features:
* Implement data preprocessing steps and optimize model hyperparameters
* Work with large amounts of data using distributed and parallel… Show more

With artificial intelligence (AI) systems, we can develop goal-driven agents to automate problem-solving. This involves predicting and classifying the available data and training agents to execute tasks successfully. This book will help you to solve complex AI problems using practical recipes.

This book covers the following exciting features:
* Implement data preprocessing steps and optimize model hyperparameters
* Work with large amounts of data using distributed and parallel computing techniques
* Get to grips with representational learning from images using InfoGAN
* Delve into deep probabilistic modeling with a Bayesian network
* Create your own artwork using adversarial neural networks Show less

Odours are highly complex, relying on hundreds of receptors, and people are
known to disagree in their linguistic descriptions of smells. It is partly due to these facts that,
it is very hard to map the domain of odour molecules or their structure to that of perceptual
representations, a problem that has been referred to as the Structure-Odour-Relationship.
We collected a number of diverse open domain databases of odour molecules having
unorganised perceptual descriptors… Show more

Odours are highly complex, relying on hundreds of receptors, and people are
known to disagree in their linguistic descriptions of smells. It is partly due to these facts that,
it is very hard to map the domain of odour molecules or their structure to that of perceptual
representations, a problem that has been referred to as the Structure-Odour-Relationship.
We collected a number of diverse open domain databases of odour molecules having
unorganised perceptual descriptors, and developed a graphical method to find the ...
Show less

The main problem with sensory processing is the difficulty in relating sensory input to physiological responses and perception. This is especially problematic at higher levels of processing, where complex cues elicit highly specific responses. In olfaction, this relationship is particularly obfuscated by the difficulty of characterizing stimulus statistics and perception. The core questions in olfaction are hence the so–called stimulus problem, which refers to the understanding of the stimulus,… Show more

The main problem with sensory processing is the difficulty in relating sensory input to physiological responses and perception. This is especially problematic at higher levels of processing, where complex cues elicit highly specific responses. In olfaction, this relationship is particularly obfuscated by the difficulty of characterizing stimulus statistics and perception. The core questions in olfaction are hence the so–called stimulus problem, which refers to the understanding of the stimulus, and the structure–activity and structure–odor relationships, which refer to the molecular basis of smell. It is widely accepted that the recognition of odorants by receptors is governed by the detection of physico–chemical properties and that the physical space is highly complex. Not surprisingly, ideas differ about how odor stimuli should be classified and about the very nature of information that the brain extracts from odors. Even though there are many measures for smell, there is none that accurately describes all aspects of it. Here, we summarize recent developments in the understanding of olfaction. We argue that an approach to olfactory function where information processing is emphasized could contribute to a high degree to our understanding of smell as a perceptual phenomenon emerging from neural computations. Further, we argue that combined analysis of the stimulus, biology, physiology, and behavior and perception can provide new insights into olfactory function. We hope that the reader can use this review as a competent guide and overview of research activities in olfactory physiology, psychophysics, computation, and psychology. We propose avenues for research, particularly in the systematic characterization of receptive fields and of perception. Show less

In sensory processing of odors, the olfactory bulb is an important relay station,
where odor representations are noise-filtered, sharpened, and possibly re-organized. An
organization by perceptual qualities has been found previously in the piriform cortex,
however several recent studies indicate that the olfactory bulb code reflects behaviorally
relevant dimensions spatially as well as at the population level. We apply a statistical
analysis on 2-deoxyglucose images, taken… Show more

In sensory processing of odors, the olfactory bulb is an important relay station,
where odor representations are noise-filtered, sharpened, and possibly re-organized. An
organization by perceptual qualities has been found previously in the piriform cortex,
however several recent studies indicate that the olfactory bulb code reflects behaviorally
relevant dimensions spatially as well as at the population level. We apply a statistical
analysis on 2-deoxyglucose images, taken over the entire bulb of glomerular layer of the ... Show less

A beowulf cluster is a cluster of Linux computers designed to run computing jobs in
parallel. This article is going to give an up-to date example of assembled hardware, and
installed programs (plus configuration). Finally there will be explanations of how to run
processes in parallel in computing languages such as matlab and R. After the computers are
setup we may want to transfer the configuration to other computers, a process which is
called cloning. In the last section… Show more

A beowulf cluster is a cluster of Linux computers designed to run computing jobs in
parallel. This article is going to give an up-to date example of assembled hardware, and
installed programs (plus configuration). Finally there will be explanations of how to run
processes in parallel in computing languages such as matlab and R. After the computers are
setup we may want to transfer the configuration to other computers, a process which is
called cloning. In the last section, we will deal with profiling. keywords: scientific ... Show less

We study filter–based feature selection methods for classification of biomedical
images. For feature selection, we use two filters—a relevance filter which measures
usefulness of individual features for target prediction, and a redundancy filter, which
measures similarity between features. As selection method that combines relevance and
redundancy we try out a Hopfield network. We experimentally compare selection methods,
running unitary redundancy and relevance filters… Show more

We study filter–based feature selection methods for classification of biomedical
images. For feature selection, we use two filters—a relevance filter which measures
usefulness of individual features for target prediction, and a redundancy filter, which
measures similarity between features. As selection method that combines relevance and
redundancy we try out a Hopfield network. We experimentally compare selection methods,
running unitary redundancy and relevance filters, against a greedy algorithm with ... Show less

In university programming classes often hundreds of students participate having to
solve each hundreds of programming assignments a situation which puts instructors to the
difficult task of validating hundreds of programming assignments. We present a framework
that can help instructors and students in organization and validation of program code. Our
“System for Automated Assistance in Correction of Programming Exercises “(short: SAC) is a
web-platform for test-driven… Show more

In university programming classes often hundreds of students participate having to
solve each hundreds of programming assignments a situation which puts instructors to the
difficult task of validating hundreds of programming assignments. We present a framework
that can help instructors and students in organization and validation of program code. Our
“System for Automated Assistance in Correction of Programming Exercises “(short: SAC) is a
web-platform for test-driven development and automated validation. The web-platform is ... Show less

Spectral clustering is a powerful technique in data analysis that has found
increasing support and application in many areas. This report is geared to give an
introduction to its methods, presenting the most common algorithms, discussing advantages
and disadvantages of each, rather than endorsing one of them as the best, because,
arguably, there is no black-box algorithm, which performs equally well for any data. We
present results from previous studies and conclude that… Show more

Spectral clustering is a powerful technique in data analysis that has found
increasing support and application in many areas. This report is geared to give an
introduction to its methods, presenting the most common algorithms, discussing advantages
and disadvantages of each, rather than endorsing one of them as the best, because,
arguably, there is no black-box algorithm, which performs equally well for any data. We
present results from previous studies and conclude that methods based on Ncut and ... Show less