Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

Pattern Recognition and Machine Learning

Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

Phd by thesis

Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

How to Do Things With Words

This note is a retrospective review of our 2006 paper [1] on the properties of protocols, especially interoperability.

A bit of history is in order. By 2006, the importance of a social semantics for protocols was well-established in the multiagent systems community. Further, commitments had emerged as a preeminent abstraction for capturing the semantics. The big advantage was that specifying the meaning of protocol messages in terms of the commitments among agents enabled the agents to act flexibly.

/pdf/the-evolution-of-interoperability-28j7kuj6u8.pdf

The evolution of interoperability

We address the problem of designing privacy-preserving ethical personal agents that understand and act according to their users' preferred values and ethical principles, and provide a satisfying social experience to all their stakeholders.

Ethics, values, and personal agents: poster

We present Pixie, a manually annotated dataset for preference classification comprising 8,890 sentences drawn from app reviews. Unlike previous studies on preference classification, Pixie contains implicit (omitting an entity being compared) and indirect (lacking comparative linguistic cues) comparisons. We find that transformer-based pretrained models, finetuned on Pixie, achieve a weighted average F1 score of 83.34% and outperform the existing state-of-the-art preference classification model (73.99%).

Pixie: Preference in Implicit and Explicit Comparisons

Several researchers have proposed using cognitive concepts as a semantic basis for agent communications (M.N. Huhns and M.P. Singh, 1997). One of the leading candidates for such a semantics is based on Arcol, the communication language used within Artimis. Interestingly, this application (not only of Arcol, but also in general) appears extremely misguided. The intentional concepts are well suited to designing agents, but are not suited to giving a basis to a public, standardizable view of communication. A challenge for using the cognitive concepts is that although they are natural in several respects and can guide implementations, full blown implementations that try to be faithful to every aspect of the model can end up being computationally demanding. As the cognitive concepts are put to use in real applications, the principles for simplifying the implementations will emerge. In any case, because of their naturalness to humans, the cognitive concepts are here to stay, and we will do well to consider them in the design of our agents.

Munindar P. Singh

Papers

The evolution of interoperability

Ethics, values, and personal agents: poster

Pixie: Preference in Implicit and Explicit Comparisons

Agents on the Web: Cognitive Agents.

Kiko: Programming Agents to Enact Interaction Models