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

Malicious reconnaissance is a critical step for attackers to collect sufficient network knowledge and choose valuable targets for intrusion. Defensive deception (DD) is an essential strategy against threats by misleading attackers' observations and beliefs. Honeypots are widely used for cyber deception that aims to confuse attackers and waste their resources and efforts. Defenders may use low-interaction honeypots or high-interaction honeypots. In this paper, we consider a hybrid honeypot system that balances the use of the two levels of honeypot complexity, where high-interaction honeypots are more capable of deceiving skilled attackers than low-interaction honeypots. We present a two-player hypergame model that characterizes how a defender should deploy low and high-interaction honeypots to defend the network against malicious reconnaissance activities. We model the tradeoff of each player and characterize their best strategies within a hypergame framework that considers the imperfect knowledge of each player toward their opponent. Finally, our numerical results validate the effectiveness of the proposed honeypot system.

Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory

Computing the temporal structure of narratives is an important milestone in understanding stories and discourses. We propose structured representations for events based on their algebraic properties. We use these representations along with the situation type and aspect of the predicates involved to give detailed semantic postulates for various temporal connectives. These postulates|more detailed than previously proposed|are developed in conjunction with an analysis of a story from the New York Times. This story was proposed as a challenge to NL systems.

/pdf/the-temporal-structure-of-narratives-a-semantic-approach-5ah9dy4mxi.pdf

The Temporal Structure of Narratives: A Semantic Approach

Current computational models are inadequate for the purposes of modeling interactions between autonomous parties in a way that highlights and supports their accountability. We propose a new conceptual model for business contracts based on norms motivated by a review of real-life business contracts. Our conception is of a gray box, reflecting the idea that a contract makes the participants accountable to one another and to outside entities, and therefore calls for the exposure of sufficient implementation details. The model consists of a recursively applicable taxonomy of clause types. In a preliminary study, we found that computer scientists are able to effectively identify the concepts introduced in this model, thereby indicating its potential for building Internet applications that support accountability.

A Gray Box Conceptual Model for Accountability and Ethics in Business Contracts

/pdf/embedding-ai-in-society-ethics-policy-governance-and-impacts-3me6bw89.pdf

Munindar P. Singh

Papers

Honeypot-Based Cyber Deception Against Malicious Reconnaissance via Hypergame Theory

The Temporal Structure of Narratives: A Semantic Approach

A Gray Box Conceptual Model for Accountability and Ethics in Business Contracts

Embedding AI in society: ethics, policy, governance, and impacts

Concepts and Practice of Personalization.