Chris Holmes Knihy

Jamie Breen is a determined young woman trying to keep her late father's landscaping business afloat. She and her love interest, Tony Rizzo, accidentally uncover a chain-bound coffin while excavating a hole for a swimming pool for wealthy widow, Deidra Westbrooke. When the coffin is mysteriously opened, a centuries-old spirit hell-bent on seeking revenge is released. The disappearance of Rizzo, police investigations, a greedy lawyer, a suspected vampire, a possessed widow, a blood-drained corpse and the rumor of an ancient curse bring an unlikely group of alliances together to help Jamie. Forced to reveal their own buried secrets, the group learns they all have a desperate stake in defeating the evil overtaking their small rural town. This is the third full-length novel from Chris Holmes. She writes horror and urban fantasy stories that emphasize engaging characters and imaginative stories with romance and a touch of dark humor. Other books: Light A Candle, Chase the Devil Away, Vamped, The Turning and novella, Inky: Nice Neighborhood. Bad Cat.

When a stray cat enters a neighborhood, bad things start to happen. Jim Harper is a retired widower who lives in a quiet cul-de-sac. His neighbor, Dora Pritchard, has taken to feeding a horde of feral cats. In particular a one-eyed, black tomcat she calls Inky. Her sunset feedings have gotten out of hand and the dozens of stray cats are ruining Jim's meticulously kept yard as well as his peace and quiet each evening. When Jim threatens to notify animal control to eliminate the cats, events begin to spiral out of control. Jim is forced to take a stand against Inky and the clan of feral cats.

Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry this intelligent book is the perfect guide to what can seem a forbidding landscape. Tutorial chapters by Ghosal, Lijoi and Prünster, Teh and Jordan, and Dunson advance from theory, to basic models and hierarchical modeling, to applications and implementation, particularly in computer science and biostatistics. These are complemented by companion chapters by the editors and Griffin and Quintana, providing additional models, examining computational issues, identifying future growth areas, and giving links to related topics. This coherent text gives ready access both to underlying principles and to state-of-the-art practice. Specific examples are drawn from information retrieval, NLP, machine vision, computational biology, biostatistics, and bioinformatics.