The history of the rebellion and civil wars in England : to which is added an historical view of the affairs of Ireland /

Mode of access: Internet.

A painter of dreams, and other biographical studies,

A Georgian scrap-book.--A friend of freedom [William Bosville]--An autocrat [4th Earl of Albemarle]--A dupe of destiny [Elizabeth Patterson Bonaparte]--A favourite of destiny [Mary Caton, marchioness of Wellesley]--A painter of realities [J. F. Herring]--A painter of dreams, the life of Roddam Spencer Stanhope.

General valuation of rateable property in Ireland : valuation of the several tenements.

[1] Union: Clogher/Counties: Monaghan & Tyrone -- [2] Union: Castlerea/Counties: Roscommon & Mayo -- [3] Union: Castletowndelvin/Counties: Meath & Westmeath -- [4] Union: Cootehill/County: Cavan -- [5] Union: Clifton/County: Galway, in which is included the Island of Inishbofin in the County of Mayo -- [6] Union: Claremorris/County: Mayo -- [7] Union: Cootehill/County: Managhan -- [8] Union: Clones/(Part of) County: Monaghan -- [9] Union: Ardee/Counties: Louth & Meath -- [10] Union: Bailieborough/County: Cavan -- [11] Union: Ballina/Counties: Mayo & Sligo -- [12] Union: Ballinasloe/County: Roscommon -- [13] Union: Ballinrobe/County: Mayo -- [14] Union: Ballymahon/Counties: Longford & Westmeath -- [15] Union: Ballymahon/County: Westmeath -- [16] Union: Ballyshannon/County: Donegal -- [17] Union: Ballyshannon/County: Leitrim -- [18] Union: Ballyvaghan/County: Clare -- [19] Union: Baltinglass/County: Wicklow -- [20] Unions: Bandon & Kinsale/County: Cork -- [21] Union: Bawnboy/County: Cavan -- [22] Union: Bawnboy/County: Leitrim -- [23] Union: Belmullet/County: Mayo -- [24] Union: Carrick-on-Shannon/County: Roscommon -- [25] Union: Carrickmacross/County: Monaghan -- [26] Union: Castlebar/County: Mayo -- [27] Union: Castleblayney (part of)/County: Monaghan -- [28] Union: Corrofin/County: Clare -- [29] Barony: Upper Deece/County: Meath -- [30] Barony: Cork/County: Cork -- [31] Barony: Coshmore & Coshbride/County: Waterford -- [32] Barony: Trough/County: Monaghan -- [33] Union: Donegal/County: Donegal -- [34] Union: Drogheda/Counties: Louth & Meath -- [35] Union: Dromore, West/County: Sligo -- [36] Union: Dunfanaghy/County: Donegal -- [37] Unions: Cahersiveen, Kenmare, and Killarney/County: Kerry -- [38] Barony: Dunkerron South/County: Kerry -- [39] Union: Dunshaughlin/County: Meath -- [40] Union: Edenderry/County: Meath -- [41] Union: Edenderry/County: Kildare -- [42] Union: Edenderry/King's County -- [43] Union: Enniskillen/County: Cavan -- [44] Union: Ennistimon/County: Clare -- [45] Barony: Glenahiry/County: Waterford -- [46] Union: Gort/Counties: Galway & Clare -- [47] Union: Granard/County: Longford -- [48] Union: Granard/County: Westmeath -- [49] Barony: Iffa & Offa West/County: Tipperary -- [50] Barony: Imokilly/County: Cork -- [51] Union: Kells/County: Meath -- [52] Barony: Kenry/County: Limerick -- [53] Barony: Kerrycurrihy/County: Cork -- [54] Barony: Kilculliheen/County: Waterford -- [55] Union: Killadysert/County: Clare -- [56] Union: Killala/County: Mayo -- [57] Union: Letterkenny/County: Donegal -- [58] Union: Limerick/County: Limerick -- [59] Union: Longford/County: Longford -- [60] Barony: Magunihy/County: Kerry -- [61] Unions: Mallow & Cork/County: Cork -- [62] Union: Manorhamilton/County: Leitrim -- [63] Union: Millford/County: Donegal -- [64] Union: Mountbellew/County: Galway -- [65] Union: Naas/County: Wicklow -- [66] Union: Navan/County: Meath -- [67] Union: Newport/County: Mayo -- [68] Union: Oldcastle/County: Meath -- [69] Barony: Upper Ormond/County: Tipperary, North Riding -- [70] Barony: Orrery & Kilmore/County: Cork -- [71] Union: Oughterard/ Counties: Galway & Mayo together with that portion of the Union of Ballinrobe in the County of Galway -- [72] Union: Portumna/County: Galway -- [73] Barony: Rathdown/County: Wicklow -- [74] Barony: Salt/County: Kildare -- [75] Barony: South Salt/County: Kildare -- [76] Union: Scarriff/Counties: Clare & Galway -- [77] Union: Shillelagh/County: Wicklow -- [78] Union: Stranorlar/County: Donegal -- [79] Union: Tobercurry/County: Sligo -- [80] Union: Trim/County: Meath -- [81] Barony: Trughanacmy/County: Kerry -- [82] Barony: Upperthird/County: Waterford -- [83] Union: Wexford/County: Wexford -- [84] Barony: Castleknock/County: Dublin -- [85] Barony: Balrothery, East/County: Dublin -- [86] Barony: Newcastle/County: Dublin -- [87] City of Dublin, North Dublin Union, Arran Quay Ward -- [88] City of Dublin, South Dublin Union, Fitzwilliam Ward -- [89] City of Dublin, North Dublin Union, Inns Quay Ward -- [90] City of Dublin, South Dublin Union, Mansion House Ward -- [91] City of Dublin, South Dublin Union, Merchants' Quay Ward -- [92] City of Dublin, North Dublin Union, Mountjoy Ward -- [93] City of Dublin, North Dublin Union, North Dock Ward -- [94] City of Dublin, North Dublin Union, North City Ward -- [95] City of Dublin, North Dublin Union, Rotundo Ward -- [96] City of Dublin, South Dublin Union, Royal Exchange Ward -- [97] City of Dublin, South Dublin Union, South City Ward -- [98] City of Dublin, South Dublin Union, South Dock Ward -- [99] City of Dublin, South Dublin Union, Trinity Ward -- [100] City of Dublin, South Dublin Union, Usher's Quay Ward -- [101] City of Dublin, South Dublin Union, Wood Quay Ward.

Water for America; the story of water conservation,

Mode of access: Internet.

A description of the antiquities and curiosities in Wilton House. Illustrated with twenty-five engravings of some of the capital statues, bustos, and relievos.

Mode of access: Internet.

The life and letters of Lady Sarah Lennox, 1745-1826, daughter of Charles, 2nd Duke of Richmond, and successively the wife of Sir Thomas Charles Bunbury, Bart., and of the Hon. George Napier; also a short political sketch of the years 1760 to 1763,

Mode of access: Internet.

The public and private life of Lord Chancellor Eldon,

Mode of access: Internet.

The letter-bag of Lady Elizabeth Spencer-Stanhope /

Sequel and conclusion to the author's Coke of Norfolk and his friends, 1906; and Annals of a Yorkshire house, 1911.

A description of the antiquities and curiosities in Wilton-House.

Text by James Kennedy. cf. Brit. mus. cat.

The bibliography of Ruskin; a bibliographical list, arranged in chronological order, of the published writings in prose and verse, of John Ruskin, M. A., from 1834 to the present time (October 1878)

Includes "Letter from Mr. Ruskin" to the compiler (2 p.)

Growth of experimentally reconstructed thalli of the lichen Parmelia conspersa

The centres of thalli of Parmelia conspersa (Ehrh. ex Ach.) Ach. were removed, the major lobes were separated from each other and from the substratum, and then the lobes were glued back together in their original configuration. The mean radial growth, the pattern of seasonal growth, and the degree of variation in growth between lobes of the reconstructed thalli, were similar to those of control thalli. When lobes were removed from thalli and glued apart from one another, the pattern of seasonal growth and the degree of variation in lobe growth were unaffected, but annual growth rates were reduced compared with lobes reconstructed into a thallus. Glueing the lobes together in a different configuration and constructing thalli in which each lobe came from a different ‘donor’ thallus did not influence the mean radial growth of the lobes or the degree of variation in lobe growth. These results suggest that although major lobes of P. conspersa are influenced by the proximity of their neighbours there is little chemical exchange between them. In addition, some thalli may form as a result of the fusion of lobes or propagules derived from different individuals. Copyright © 1984, Wiley Blackwell. All rights reserved

Description and training of neural network dynamics

Attractor properties of a popular discrete-time neural network model are illustrated through numerical simulations. The most complex dynamics is found to occur within particular ranges of parameters controlling the symmetry and magnitude of the weight matrix. A small network model is observed to produce fixed points, limit cycles, mode-locking, the Ruelle-Takens route to chaos, and the period-doubling route to chaos. Training algorithms for tuning this dynamical behaviour are discussed. Training can be an easy or difficult task, depending whether the problem requires the use of temporal information distributed over long time intervals. Such problems require training algorithms which can handle hidden nodes. The most prominent of these algorithms, back propagation through time, solves the temporal credit assignment problem in a way which can work only if the relevant information is distributed locally in time. The Moving Targets algorithm works for the more general case, but is computationally intensive, and prone to local minima.

Efficient use of training data in the n-tuple recognition method

A simple technique is presented for improving the robustness of the n-tuple recognition method against inauspicious choices of architectural parameters, guarding against the saturation problem, and improving the utilisation of small data sets. Experiments are reported which confirm that the method significantly improves performance and reduces saturation in character recognition problems.

A representation of representation applied to a discussion of variable binding

States or state sequences in neural network models are made to represent concepts from applications. This paper motivates, introduces and discusses a formalism for denoting such representations; a representation for representations. The formalism is illustrated by using it to discuss the representation of variable binding and inference abstractly, and then to present four specific representations. One of these is an apparently novel hybrid of phasic and tensor-product representations which retains the desirable properties of each.

Bayesian invariant measurements of generalisation for continuous distributions

A family of measurements of generalisation is proposed for estimators of continuous distributions. In particular, they apply to neural network learning rules associated with continuous neural networks. The optimal estimators (learning rules) in this sense are Bayesian decision methods with information divergence as loss function. The Bayesian framework guarantees internal coherence of such measurements, while the information geometric loss function guarantees invariance. The theoretical solution for the optimal estimator is derived by a variational method. It is applied to the family of Gaussian distributions and the implications are discussed. This is one in a series of technical reports on this topic; it generalises the results of ¸iteZhu95:prob.discrete to continuous distributions and serve as a concrete example of a larger picture ¸iteZhu95:generalisation.