The trial of James Stuart : Younger of Dunearn, before the High Court of Justiciary, at Edinburgh, on Monday, June 10, 1822.

Mode of access: Internet.

The spirit of Tintoc : a ballad : with notes.

Pages [2] and [8] are blank.

Report of proceedings under commissions of oyer & terminer and goal delivery, for the county of York, held at the castle of York, before Sir Alexander Thomson, knight ... and Sir Simon Le Blanc, knight ... from 2d to the 12th of January, 1813 /

Trials of 64 Luddites on various charges. The first trial was that of John Swallow, John Batley, Joseph Fisher and John Lumb, for burglary.

Correspondence of Sir John Macdonald; selections from the correspondence of the Right Honourable Sir John Alexander Macdonald,G. C. B., first prime minister of the Dominion of Canada,

Mode of access: Internet.

Rare and remarkable animals of Scotland, represented from living subjects: with practical observations on their nature. By Sir John Graham Dalyell, baronet ...

1

The reform act, 1832; the correspondence of the late Earl Grey with His Majesty King William IV. and with Sir Herbert Taylor, from Nov. 1830 to June 1832;

Mode of access: Internet.

Ancient vases from the collection of Sir Henry Englefield,

51 plates, of which are now first published.

Reports and papers, political, geographical, & commercial submitted to government by Alexander Burnes, Lieutenant Leech, Doctor Lord, and Lieutenant Wood, employed on missions in the years 1835-36-37 in Scinde, Affghanisthan, and adjacent countries.

"Printed by order of government."--T.p.

The life of Samuel Johnson : comprehending an account of his studies and numerous works in chronological order : a series of his epistolary correspondence and conversations with many eminent persons : and various original pieces of his composition, never before published /

Advertisement to the 9th ed. signed by the editor, Alexander Chalmers.

Poetical works.

Half-title: The British poets with biographical and critical prefaces, by Sir John Byerley.

Vases from the collection of Sir Henry Englefield, bart.,

Plates dated 1819-20.

Exponentiated gradient algorithms for conditional random fields and max-margin Markov Networks

Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of parameters in these models is therefore an important problem, and becomes a key factor when learning from very large data sets. This paper describes exponentiated gradient (EG) algorithms for training such models, where EG updates are applied to the convex dual of either the log-linear or max-margin objective function; the dual in both the log-linear and max-margin cases corresponds to minimizing a convex function with simplex constraints. We study both batch and online variants of the algorithm, and provide rates of convergence for both cases. In the max-margin case, O(1/ε) EG updates are required to reach a given accuracy ε in the dual; in contrast, for log-linear models only O(log(1/ε)) updates are required. For both the max-margin and log-linear cases, our bounds suggest that the online EG algorithm requires a factor of n less computation to reach a desired accuracy than the batch EG algorithm, where n is the number of training examples. Our experiments confirm that the online algorithms are much faster than the batch algorithms in practice. We describe how the EG updates factor in a convenient way for structured prediction problems, allowing the algorithms to be efficiently applied to problems such as sequence learning or natural language parsing. We perform extensive evaluation of the algorithms, comparing them to L-BFGS and stochastic gradient descent for log-linear models, and to SVM-Struct for max-margin models. The algorithms are applied to a multi-class problem as well as to a more complex large-scale parsing task. In all these settings, the EG algorithms presented here outperform the other methods.

El Euangelio en triumpho ó Historia de un philosopho desengañado ... : [Texto impreso] tomo quarto

Mención de ed. precede a:"Tomo quarto"

An allegorical masque : in honour of the nuptials of H.R.H. the Prince of Wales and H.R.H. the Princess Alexandra entitled Freya's gift /

Without the music.

First and second interim reports ...

Mode of access: Internet.