Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization. Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai and Gang Niu present theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom. The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classification. It then explores problems of binary weakly supervised classification, including positive-unlabeled (PU) classification, positive-negative-unlabeled (PNU) classification, and unlabeled-unlabeled (UU) classification. It then turns to multiclass classification, discussing complementary-label (CL) classification and partial-label (PL) classification. Finally, the book addresses more advanced issues, including a family of correction methods to improve the generalization performance of weakly supervised learning and the problem of class-prior estimation.
With cutting-edge materials and minute electronic devices being produced by the latest nanoscale fabrication technology, it is essential for scientists and engineers to rely on first-principles (ab initio) calculation methods to fully understand the electronic configurations and transport properties of nanostructures. It is now imperative to introduce practical and tractable calculation methods that accurately describe the physics in nanostructures suspended between electrodes.This timely volume addresses novel methods for calculating electronic transport properties using real-space formalisms free from geometrical restrictions. The book comprises two parts: The first details the basic formalism of the real-space finite-difference method and its applications. This provides the theoretical foundation for the second part of the book, which presents the methods for calculating the properties of electronic transport through nanostructures sandwiched by semi-infinite electrodes./a
One day at school, Kanji is called to the faculty office out of nowhere. There, the teachers show him Chitose's future career survey form. On it, she wrote that her career of choice is "exorcist"! Though it sounds unlikely to everyone else, Chitose seems serious about it. Has she finally gotten over her fear of ghosts?!
Noe usually tries her best to stay away from her brother's wacky friends, but when Tama recruits her for a mission, she has no choice but to go along with it! Together with Tsutsuji and Sakura, Tama and Noe must face off against a rival school in order to get back a treasured action figure. Will the gang succeed, or will they need rescuing themselves?!
In the fields of biologically active materials and functional materials, fluorinated organic materials are becoming a focus of significant interest. Over the past decade synthetic methodologies and reagents in fluorine chemistry have been developed, especially stereocontrolled synthetic methods, enzymatic resolution to synthesize enantiomers, fluoromethylated reagents, and fluorination reagents. These methods have contributed to the opening of new pathways for fluorinated materials. However, few fluorinated materials have been put to commercial use. Furthermore, there remain problems to be solved, such as the handling of the materials, availability of reagents and selectivity (stereo-, regio-, and/or chemoselectivity). Research chemists, technical engineers, and graduate students in all branches of chemistry, pharmaceutics, and material science interested in fluorinated materials need to know detailed experimental procedures of how to synthesize the target fluorinated materials. This volume summarizes the chemical and microbial methods for obtaining functionalized fluorinated materials for use as building blocks; detailed experimental methods (reaction conditions, solvent, temperature, handling techniques, etc.); and the stereoview (possible absolute configuration) of the structures with spectral data. Mono-, di-, tri-, and polyfluorinated materials derived from fluorinating agents, fluoromethylated reagents and building blocks are summarized. A chemical name index, molecular formula index, and reagent index are also included. The publication of this monograph will provide access to the enormous possibilities in fluorine chemistry, biological material chemistry, and functionalized material chemistry.
For the first time in a while, the Game Dev. Club (Temp) decides to do an actual club activity by playing a cutting-edge virtual reality MMORPG! But Kenji and his clubmates quickly discover that the stunning graphics hide a sinister secret--they can't log out! Takao, Funabori, and the rest of the supporting cast race to save their friends! Will they be able to fix the glitch in time?!
Ever since wannabe thug Kenji was forced to join the Game Development Club, his high school life has become a whirlwind of chaos. After the club gets their hands on a super-rare gaming system, they decide to host a school-wide tournament. But when every aimless loser with nothing better to do shows up, the club realizes that they've bitten off more than they can chew. The contest gets personal when Takao and Funabori - two girls who have a thing for Kenji - go head-to-head. Who will win the battle for Kenji's heart?!
Once upon a time, Kenji met The Game Development Club and got his butt kicked by four strange girls. But even the formidable ladies of the Game Development Club have enemies that scare them: the superpowerful former student council. When the ex-council members kidnap Kenji and threaten to destroy the club, Kenji must figure out a way to save both the Game Development Club and whatever dignity he has left. The solution? A game, of course! Get ready for the gang's most intense challenge yet!
Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization. Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai and Gang Niu present theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom. The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classification. It then explores problems of binary weakly supervised classification, including positive-unlabeled (PU) classification, positive-negative-unlabeled (PNU) classification, and unlabeled-unlabeled (UU) classification. It then turns to multiclass classification, discussing complementary-label (CL) classification and partial-label (PL) classification. Finally, the book addresses more advanced issues, including a family of correction methods to improve the generalization performance of weakly supervised learning and the problem of class-prior estimation.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.