Tom m franklin (17 Ergebnisse)

Hardcover. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Paperback. Zustand: As New. Paperback. Cover shows very minor shelving wear, otherwise an unblemished copy.; 100% Satisfaction Guaranteed! Ships same or next business day.

Paper Back. Zustand: Used.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. Idioma/Language: Español. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.

Zustand: New. Idioma/Language: Español. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.

Hardcover. Zustand: Gut. Ehem. Bibliotheksexemplar mit Bib.-Signatur und Stempel in GUTEM Zustand. Kaum Gebrauchsspuren. Sprache: Englisch Gewicht in Gramm: 550.

Couverture rigide. Zustand: bon. RO60066118: 1972. In-8. Relié. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 79 pages. Illustré de dessins en noir et blanc hors texte. Annotations en page de garde. Jaquette légèrement déchirée. Avec Jaquette. . . Classification Dewey : 420-Langue anglaise. Anglo-saxon. Arbuckle, Franklin (illustrator).…

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | A steam-driven mechanical pteranodon is out of control over Victorian-era London and the Queen is not amused! Ib believes his luck has changed for the better when he gets the chance to be an eccentric professor's assistant. However, when the professor's gearwork pterosaur comes to life and escapes into the skies, Ib wonders what else can go wrong.Then Her Majesty's Royal Guard gives Ib and the professor two days to capture their renegade machine or end up in prison. When the professor is arrested, it is left to Ib to come up with an extraordinary plan to save them all.…

Zustand: New. In English.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).…

Gebunden. Zustand: New. Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning .

Paperback. Zustand: Brand New. reprint edition. 224 pages. 9.13x6.10x0.59 inches. In Stock.

Buch. Zustand: Neu. Neuware - Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).…

Single Issue Magazine. Zustand: Good. First Edition. Features: Lovely Franklin Arbuckle cover art of Les Gamins in Sous le Cap; Beautiful full-page colour ad for Buick featuring a special 2-door 6-passenger white on red Riviera; Is Jean Drapeau a match for Duplessis? - political battles in Quebec, including slum clearing; The Facts About Our High-Seas Battle for Fish; Robert Coote is giving up the best role of his life in "My Fair Lady" after one year - here's why (with colour photos); What's So Funny About Gout?; The Private Life of a Model T - the fascinating 38-year case history of one car originally purchased by Bill Masters - the man who sold her and the five who have successively owned and loved her - article with colour photo; Hugh Garner gives four reasons why he has sworn off parties; What Shakespeare's Doing to Stratford - article with photos; Will We Ever Control the Bloodthirsty Black Fly?; John Womble's Second Dream (short story); Very nostalgic 2-page colour Texaco ad featuring a happy scene on a gas station lot; Nice colour ad for McBrine luggage; Nice colour full-page ad for 1957 Plymouth cars; Great full-page black and white photo ad for Orenda Engines with photo of a B-47 flying over Malton; Full-page colour photo ad for Caterpillar and road construction through the Fraser Canyon in B.C. 92 pages. Average wear. Unmarked. A sound example of this rare vintage issue.; Folio - over 12" - 15" tall; Buick featuring a special 2-door 6-passenger Riviera; Is Jean Drapeau a match for Duplessis? - political battles in Quebec, including slum clearing; The Facts About Our High-Seas Battle for Fish; Robert Coote is giving up the best role of his life in "My. Illustrated by Arbuckle, Franklin; Bier, David; Zarov, Basil; Brooks, Bob;Croydon, Peter; Ehricht, Horst; Dark, Lloyd; Notman, William; Hodgson, Tom (illustrator). …