Gregoire Robert (91 results)

Condition: New. Mix & Remix (illustrator).

Condition: As New. Unread book in perfect condition. Mix & Remix (illustrator).

Couverture souple. Condition: Bonne Condition. Couverture légèrement frottée. Inscription sur la page de garde. Intérieur frais. 121 p.Envoi soigné.

Hardcover. Condition: VG. A VG or better 36-page souvenir program. Book.

Condition: New. Mix & Remix (illustrator).

Condition: As New. Unread book in perfect condition. Mix & Remix (illustrator).

Couverture souple. Condition: Très bon. 121 p. poésie franco-ontarienne.

Softcover. Condition: Bon. Ancien livre de bibliothèque avec équipements. Edition 2015. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2015. Ammareal gives back up to 15% of this item's net price to charity organizations.…

Couverture souple. Condition: Très bon. 32p. Complet des vignettes à coller. Rakoncay, Melinda (illustrator).

Condition: New.

Condition: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. 2019 ed. The development of "intelligent" systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to "intelligent" machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner.The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.…

Secrétariat de la société scientifique, Louvain - 1914, 15,50x24,50 cm, relié, 704 pages Bon état - Pour les envois hors de France, la tafication «livre & brochure» pour les frais de port a disparue.Les frais de port annoncés correspondent à une moyenne. Ils seront calculés au plus juste en fonction du poids de votre article.…

Condition: New.

Condition: New. In English.

Broché. Condition: Bon état. in-8 Description :Pages 722-909. Non coupé. Couverture insolée et salie. Langue : Français Nb de volumes : 1.

Condition: As New. Unread book in perfect condition.

Couverture rigide. Condition: Très bon. Collection : Judaïsme Israël 1 vol, 202 p. : couv. ill. ; 23 cm Broché, couv. souple bon état. Plat légèrement écorné. Intérieur très bon état, pages légèrement jaunies en marge. 8A1 430g. Badinter, Robert (1928-.). Préfacier (illustrator).

Condition: As New. Unread book in perfect condition.

Encuadernación de tapa blanda. Condition: Muy bien. Idioma español. Ejemplar en buen estado. 155 pp.

Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.…

Condition: Fine. Original stapled illustrated souvenir programme. 8½'' x 6''. Contains 12 pages. In Fine condition. Member of the P.B.F.A. MUSIC [Classical].

Broché. Condition: Bon état. in-8 Description :399 pp. Exemplaire en partie non coupé. Couverture légèrement salie. Langue : Français Nb de volumes : 1.

Condition: New.

Paperback. Condition: New. 2019 ed. The development of "intelligent" systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to "intelligent" machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner.The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications of interpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems; evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.…

Genève. Robert Morel, éditeur. 1977. Grand in-8° oblong, reliure de fort cartonnage recouvert de vélin, quatre clous plantés dans les coins des premier et dernier plats. 119 pages (impression sur papier jaune). E.O. Pas d'indications de tirage. Pages non coupées. Très bon état. Peu courant. Ces lettres apocryphes sont l'?uvre étonnante du frère franciscain Damien Grégoire, qui a endossé le rôle peu valorisant de l'évêque de Beauvais qui, l'âge venant et sa santé déclinant, jette un regard rétrospectif sur sa vie mise au service des intérêts de l'envahisseur anglais, jusqu'à la condamnation de Jeanne. " Etait-elle moins coupable, plus jeune ou moins impure ? Je ne le pensais pas alors. Je ne le crois toujours pas maintenant. Tu ne le crois pas ? Es-tu loyal en écrivant cela ? Es-tu vraiment probe et juste ? Tu te trouves devant ta conscience de prêtre, d'évêque. Poursuis, avec autant d'ardeur que l'autre, ton propre procès, essayant - mais est-ce possible ? - de prévenir ainsi celui que te fera le Juge incorruptible devant qui tu auras à comparaître, et plus tôt que tu ne le voudrais. " /// Dans un long " achevé d'imprimer " (encore plus long que ceux dont il était coutumier), Robert Morel évoque ses supposés (mais pour lui certains) liens familiaux l'unissant à Jeanne d'Arc, sa " cousine ".…

Condition: New.

Hardcover. Condition: Brand New. 2nd edition. 281 pages. 12.00x9.25x1.00 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The development of 'intelligent' systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to 'intelligent' machines. Forsensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue toperform as expected when deployed in a real-world environment. In pursuit of that objective, ways for humans to verify the agreement between the AI decision structure and their own ground-truth knowledge have been explored. Explainable AI (XAI) has developed as a subfield of AI, focused on exposing complex AI models to humans in a systematic and interpretable manner.The 22 chapters included in this book provide a timely snapshot of algorithms, theory, and applications ofinterpretable and explainable AI and AI techniques that have been proposed recently reflecting the current discourse in this field and providing directions of future development. The book is organized in six parts: towards AI transparency; methods for interpreting AI systems; explaining the decisions of AI systems;evaluating interpretability and explanations; applications of explainable AI; and software for explainable AI.…