Explanation Techniques using Markov Logic Networks

Explanation Techniques using Markov Logic Network

Learning, Probability and Logic: Toward a Unified Approach for Content-Based Music Information Retrieval

Within the last 15 years, the field of Music Information Retrieval (MIR) has made tremendous progress in the development of algorithms for organizing and analyzing the ever-increasing large and varied amount of music and music-related data available digitally. However, the development of content-based methods to enable or ameliorate multimedia retrieval still remains a central challenge. In this perspective paper, we critically look at the problem of automatic chord estimation from audio recordings as a case study of content-based algorithms, and point out several bottlenecks in current approaches: expressiveness and flexibility are obtained to the expense of robustness and vice versa; available multimodal sources of information are little exploited; modeling multi-faceted and strongly interrelated musical information is limited with current architectures; models are typically restricted to short-term analysis that does not account for the hierarchical temporal structure of musical signals. Dealing with music data requires the ability to tackle both uncertainty and complex relational structure at multiple levels of representation. Traditional approaches have generally treated these two aspects separately, probability and learning being the usual way to represent uncertainty in knowledge, while logical representation being the usual way to represent knowledge and complex relational information. We advocate that the identified hurdles of current approaches could be overcome by recent developments in the area of Statistical Relational Artificial Intelligence (StarAI) that unifies probability, logic and (deep) learning. We show that existing approaches used in MIR find powerful extensions and unifications in StarAI, and we explain why we think it is time to consider the new perspectives offered by this promising research field

Farmer's Mail & Breeze, v. 44, no. 15 (April 11, 1914)

Published as: Kansas Farmer, Vol. 1, no. 1 (May 1, 1863)-v. 57, no. 49 (Dec. 6, 1919); Kansas Farmer and Mail & Breeze, Vol. 57, no. 50 (Dec 13, 1919)-v. 64, no. 9 (Feb 27, 1926); Kansas Farmer, Mail & Breeze, Vol. 64, no. 10 (Mar. 6, 1926)-v. 70, no. 1 (Jan. 9, 1932); Kansas Farmer Continuing Mail & Breeze, Vol. 70, no. 2 (Jan. 23, 1932)-v. 76, no. 8 (Apr. 22, 1939); Kansas Farmer, Mail & Breeze, Vol. 76, no. 9 (May 6, 1939)-v. 77, no. 20 (Oct. 5, 1940); Kansas Farmer Continuing Mail & Breeze, Vol. 77, no. 21 (Oct. 19, 1940)-v. 91, no. 3 (Feb. 6, 1954).Issued by Kansas Farmer Co., 1863-1919; Kansas Farmer and Mail & Breeze, 1919-1926; Kansas Farmer, 1926-1954.Missing issues and volumes arranged chronologically by date and journal name: Kansas Farmer: vol. 6, nos. 2-8, 10 and 12 (1869); vol. 9, no. 10 (1872); vol. 14, no. 50 (1876); vol. 18, nos. 1, 12 and 13 (1880); vol. 24. no. 16 (1886); vol. 35 (1897); vol. 38 (1900); vol. 41, nos. 52 and 53 (1903); vol. 42, nos. 17 and 35 (1904); vol. 48, nos. 11 and 53 (1910); vol. 50, nos. 45-50 (1912); vol. 53 (1915); vol. 56 (1918); vol. 49, no. 39 (1919); Kansas Farmer, Continuing Mail & Breeze: vol. 73 (1935); vol. 85, nos. 9-17 (1948); and The Farmers Mail and Breeze: vol. 49, no. 39 (1919).Call number: S544.3.K3 K3

The Weekly Register - November 1811

November 1811 issues. The Weekly Register, also known as Niles Weekly Register, was a weekly periodical edited by Hezekiah Niles (1777-1839) and published in Baltimore Maryland. Volumes of interest were published between 1811 (Vol. 1, No. 1, September 7, 1811) to 1814 (Vol. 5, No. 26, February 26, 1814). These volumes focus primarily on 19th century politics and government in the United States of America. Niles edited and published the Weekly Register until 1836, making it one of the most widely-circulated magazines in the United States. The popularity also made Niles into one of the most influential journalists of his day. Devoted primarily to politics, Niles' Weekly Register is considered an important source for the history of the period. The Register also recorded current economics, technology, science, medicine, geography, archaeology, the weather, and stories of human interest.Call Number: SPCL PER JK 1 N5

Efficient inference for untied MLNs

We address the problem of scaling up localsearch or sampling-based inference in Markov logic networks (MLNs) that have large shared substructures but no (or few) tied weights. Such untied MLNs are ubiquitous in practical applications. However, they have very few symmetries, and as a result lifted inference algorithms-the dominant approach for scaling up inference-perform poorly on them. The key idea in our approach is to reduce the hard, time-consuming sub-task in sampling algorithms, computing the sum of weights of features that satisfy a full assignment, to the problem of computing a set of partition functions of graphical models, each defined over the logical variables in a first-order formula. The importance of this reduction is that when the treewidth of all the graphical models is small, it yields an order of magnitude speedup. When the treewidth is large, we propose an over-symmetric approximation and experimentally demonstrate that it is both fast and accurate

BDEEP vB6: The West Indies

The British Documents on the End of Empire Project (BDEEP) is an initiative of the Institute of Commonwealth Studies, School of Advanced Study, University of London. Established in 1987 under the auspices of the British Academy, the Project has since published 18 volumes containing an annotated selection of official documents from the UK National Archives, charting British withdrawal from its colonial territories. Electronic versions of these volumes have been made available with the support of The Stationary Office under an Open Government Licence. Series B Volume 6 on 'The West Indies' was published in 1999 and edited by SR Ashton and David Killingray