Bu derlemenin amacı günümüzde hem ticari de hobi amaçlı yapılan evcil kanarya (Serinus canarius domes-ticus) üretimi ve beslenmesinde, yetiştiricilere damızlık seçimleri damızlıklarının beslenmesi ile ilgili pratik bilgiler sunmaktır. Kanarya yetiştiriciliğinde seçimi bu damızlıklardan optimum verimin alınabilmesi için uygun bes-leme yapılması oldukça önemlidir. yetiştiriciliğinin günümüze kada...

This paper uses disclosed mutual fund portfolio holdings to develop stock selection models. Our models aggregate portfolio holdings across mutual funds, weighted by their past performance, to predict future stock returns – an overweighting by successful managers, or an underweighting by unsuccessful managers is considered to be a signal that a stock is currently underpriced. We find that invest...

Abstract With the development of artificial intelligence technology, machine learning has achieved very good results in field stock selection. This paper mainly studies application linear model, clustering, support vector machine, random forest, neural network and deep methods The main contribution this is to provide a new idea for traditional quantitative investors, so that they can build more...

We introduce skill chaining, a skill discovery method for reinforcement learning agents in continuous domains. Skill chaining produces chains of skills leading to an end-of-task reward. We demonstrate experimentally that skill chaining is able to create appropriate skills in a challenging continuous domain and that doing so results in performance gains.

Current concerns over reforming engineering education have focused attention on helping students develop skills and an adaptive expertise. Phenomenological guidelines for instruction along these lines can be understood as arising out of an emerging theory of thinking and learning built on results in the neural, cognitive, and behavioral sciences. We outline this framework and consider some of i...

Stock trading is an important financial activity of human society. Machine learning techniques are adopted to provide trading decision support by predicting the stock price or trading signals of the next day. Decisions are made by analyzing technical indices and fundamental analysis of companies. There are two major machine learning research problems for stock trading decision support: classifi...

Effective selection procedures constitute an important factor in increasing expatriate success. However, research lacks findings regarding which skills to screen in international selection processes and whether to base expatriate selection on a culture-specific or culture-general skill profile. In an attempt to gather such evidence, an empirical study was conducted in the United States and Germ...